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This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Prior work experience or internships involving data analysis or related fields is a plus. Proficiency in statistical analysis and the use of various data analysis tools and software. Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI). Ability to clean, manipulate, and analyze large datasets to derive actionable insights. Excellent problem-solving skills and attention to detail. Strong organizational and project management abilities, capable of managing multiple tasks simultaneously. Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences. A proactive approach to learning and applying new analytics techniques and tools.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Prior work experience or internships involving data analysis or related fields is a plus. Proficiency in statistical analysis and the use of various data analysis tools and software. Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI). Ability to clean, manipulate, and analyze large datasets to derive actionable insights. Excellent problem-solving skills and attention to detail. Strong organizational and project management abilities, capable of managing multiple tasks simultaneously. Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences. A proactive approach to learning and applying new analytics techniques and tools.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we’ll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

Company Description Farther is a rapidly growing RIA that combines expert advisors with cutting-edge technology - delivering a comprehensive, tailored wealth management experience. Farther’s founders are leaders and innovators from the private wealth industry who possess a unique blend of traditional wealth management, fintech, and technology production expertise. We’re backed by top-tier venture capital firms, fintech investors, and industry leaders. Joining Farther means joining a collaborative team of entrepreneurs who are passionate about helping their clients and our teammates achieve more. If you’re the type who breaks through walls to get things done the right way, we want to build the future of wealth management with you. The Role  As a Senior Backend Engineer at Farther, you'll be part of our core backend engineering team, building the foundational services and infrastructure that power all our product offerings. You'll work on a fully server-less stack built on AWS Cloud Development Kit (CDK) with Python and Scala to create scalable, reliable services that support everything from client onboarding to portfolio management. You'll help design and implement the architectural patterns that enable rapid product development across all our offerings while maintaining the high reliability and security standards required in financial services. Senior Engineers have the opportunity to take on technical leadership of key projects while remaining hands-on with development. Your Impact  Design and implement core backend services that support multiple product areas, from user authentication to financial transactions Lead technical implementation of major features and provide architectural guidance Build scalable API layers that serve both our client-facing applications and internal tools Develop shared libraries and utilities that standardize common operations across our platform Create efficient data models and database schemas that support our entire product ecosystem Drive technical decisions for critical infrastructure, including trading systems and portfolio management infrastructure Guide implementation of backend development standards and best practices Mentor engineers through code reviews and architectural discussions Work closely with the frontend team to design APIs that enable efficient client-side development Provide technical leadership in cross-team engineering initiatives The Ideal Match  6+ years of backend development experience, with expertise in building financial or data-intensive systems Strong proficiency in python or scala. Experience with distributed systems and AWS serverless technologies (lambdas, SQS/SNS, S3, eventbridge, cloudwatch) Solid understanding of RESTful APIs and asynchronous processing patterns Experience with cloud infrastructure (AWS) and containerization Strong foundation in data structures, algorithms, and system design Experience leading technical implementation of significant features or projects Track record of mentoring other engineers and driving technical best practices Strong written communication skills and documentation practices Proven ability to break down complex problems and guide technical solutions Bonus Points  Experience with financial services or trading systems Knowledge of financial regulatory requirements and compliance Experience with event-driven architectures Familiarity with functional programming concepts Background in building high-availability systems Experience with real-time data processing Why Join Us Everything you need to build the perfect dev station from hardware to software Learn & grow through book clubs, seminars, and peer learning sessions Full health benefits + 401(k) matching & Roth IRA options Unlimited PTO An amazing collaborative atmosphere between product, design, and engineering to solve hard problems together 🚀 Want to learn more about building the future of wealth tech at Farther? Visit tech-life.farther.com to discover more about our engineering teams, tech stack, culture, interview process, and perks & benefits.

Data Entry Specialist EKN Engineering is a civil engineering and technology consulting company located in Irvine, CA. We are looking for an experienced and enthusiastic Data Entry Specialist to join our Permits and Compliance Department. The ideal candidate will have a solid understanding of data entry processes and a keen eye for detail. In this role, you will be responsible for entering accurate and timely data into our database. You will be expected to work with a variety of data sources and maintain our database with up-to-date information. You will also be responsible for ensuring compliance with state and local regulations. We are seeking an organized and motivated individual who is comfortable in a fast-paced environment. A successful candidate will be able to multitask, adapt to change, and possess a strong work ethic. Responsibilities Reading of construction drawings and coordinating both internally and externally to understand the scope of work. Ensure accuracy and completeness of data and entering systems efficiently. Filling out permit applications and submitting documents for review. Sets permit expectations and deliver reporting in electronic format per customer. Ensure customer data is accurately generated, tracked, and delivered in accordance with the scope of work and/or other customer contractual requirements. Regularly updating databases and tracking all tasks accurately. Monitoring workload and adhering to upcoming deadlines. Troubleshooting data entry issues and resolving them in a timely manner. Helping in the development and implementation of data entry procedures and systems. Coordinate and communicate with the internal team regularly. Assisting with other administrative tasks or projects as needed.   Qualifications Proficiency with Microsoft Office Proven experience in data entry and data analysis Strong knowledge of database management systems Excellent verbal and written communication skills The ability to work with minimal supervision Strong attention to detail and accuracy       The hourly rate for this role ranges from $19/hour to $22/hour, depending on experience.     Public Warning: Recruitment Phishing Scam Impersonating EKN Engineering EKN Engineering has become aware of a phishing scheme targeting individuals with fraudulent interview requests and job offers. EKN’s secure IT systems and private applicant information have not been compromised; scammers are impersonating EKN employees, using the company name and branding to mislead and engage potential job seekers in fake recruitment processes. Scammers might reference real job openings or describe fake opportunities that generally match individuals’ professional backgrounds, with the goal of establishing communication and eventually obtaining private financial information to defraud people. The Federal Bureau of Investigation and Federal Trade Commission warn that employment scams such as this are a growing cyber threat. EKN urges anyone who is contacted about employment opportunities to exercise caution and know that: · All communication from EKN Engineering will be from an EKN employee using the @eknengineering.com email domain. We do not use third-party recruiters. · EKN Engineering recruiters will only schedule interviews for candidates who have applied for a position through our secure portal. · No corporate or IT systems at EKN are affected by this scam. The scammers are using EKN’s logo and employee names to impersonate the company. · You can directly contact us at TalentAcquisition@eknengineering.com with any questions or concerns. EKN is committed to ensuring the safety and security of our community. We caution individuals to be vigilant in protecting personal data and vetting communication with new contacts from any company. Do not respond or provide any personal information if contacted by someone claiming to represent a company to which you did not submit a job application or profile. This scam can be perpetrated against any business and individuals who recognize and trust its name. For information on EKN recruitment practices and policies, please visit our career page or email TalentAcquisition@eknengineering.com . To report a scam, visit: https://reportfraud.ftc.gov/.  

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role SoFi is driven by data! In this role, you will contribute to the long-term success of SoFi's data vision by developing distributed systems and scalable data platforms. The Data Platform Group supports data use cases across all of SoFi's diverse business units by providing a highly scalable, democratized data platform that empowers teams to ingest, model, and consume data confidently. Join the Data Platform Group as it refines its vision and establishes industry-leading standards for data lifecycle management, introducing best-in-class architectural components and processes to extract value from disparate data sources. The success of this team is vital to the company's success, and your contributions will have a highly visible and lasting impact.   As a Principal Engineer, you'll contribute to the team's technical direction by designing innovative solutions to complex business challenges. You'll collaborate with engineering teams to maximize value for platform consumers, coordinate with squads to align with the Data Platform team's strategy, and provide guidance on testing and deployment strategies. Leveraging your expertise, you'll explore GenAI to enhance data analysis and decision-making. You'll mentor team members and represent the team during recruitment and hiring. The ideal candidate has experience in distributed systems and scalable data platforms.   What you’ll do: Collaborate with cross-functional teams to understand complex business requirements and translate them into scalable, high-impact technical solutions, directly influencing SoFi's data-driven decision-making processes. Lead architectural design sessions for the Data Platform and its integrations (APIs, services), ensuring solutions are not only technically sound but also aligned with broader business goals and significantly contribute to SoFi's overall data strategy. Drive the development of advanced features within the Experimentation platform, ensuring modular, efficient, and scalable code structures optimized for the aforementioned stack. Spearhead rigorous code review processes, underscoring best practices, efficiency, and optimal use of underlying software components unique capabilities and services. Foster and facilitate internal technical sessions, exploring nuances of AWS data services like DMS, MSK (Kafka) , and S3, and sharing best practices for integration with the broader data stack. Provide technical leadership in evaluating and adopting emerging technologies within the modern data stack, ensuring SoFi remains at the forefront of data engineering innovation. Drive Operational excellence across the squads and act as a liaison between Data and other organizations. Implement and track operational metrics to measure progress and identify opportunities for further optimization. Engineer sophisticated data pipelines using dbt, Airflow, and Snowflake, with special emphasis on performance optimization and data integrity using Great Expectations. Leverage Python and SQL scripting proficiencies for intricate data operations, custom ETL/ELT processes, and sophisticated data transformations across the platform. Collaborate with data scientists and ML engineers to explore and implement GenAI solutions for data analysis, feature engineering, and predictive modeling. Contribute to the development of responsible GenAI practices within the organization, ensuring ethical and unbiased use of AI technologies.  Mentor technical team members in best practices for Snowflake, Airflow, dbt, and AWS services, promoting a culture of technical distinction and innovation.   What you’ll need: Educational Background: A Bachelor's or Master's degree in Computer Science, Information Security, or a related field is required; an advanced degree is preferred. Experience: A minimum of 10 years in a pivotal Software/Data Engineering role, with extensive experience in modern data stacks, particularly Snowflake, Airflow, dbt, Kafka, Docker/k8s, and AWS data services. Technical Skills: Strong understanding of data ingestion, orchestration, transformation, and reverse ETL best practices and design principles. Proven skills in distributed systems architecture and building scalable solutions. Mastery in Python, Java, and SQL for complex operations within Snowflake and AWS services like DMS, MSK (Kafka), and S3. Solid experience with Terraform or Cloudformation as IaC solutions. Soft Skills: Strong leadership and communication skills. Experience working in a collaborative coding environment, refining designs together, working through code reviews, and managing pull requests. Demonstrated problem-solving capabilities, especially within the context of the modern data stack and experimentation realm. Exceptional technical communication skills, adept at liaising with both technical peers and diverse stakeholders within a data-driven organization. Demonstrated ability to lead a team of developers, providing technical guidance, mentorship, and support. Nice to have: Data exploration and analysis experience using SQL/Python/R/Tableau.  Experience with prompt engineering and fine-tuning LLMs. Contributions to open-source projects. Experience with data governance and security. Familiarity with machine learning concepts. Experience with finance / fintech or enthusiastic to learn and grow in this space. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

    About the Role: Sigma is a next-generation business intelligence, data exploration, and application-building platform that is changing the analytics landscape. It offers a spreadsheet-like interface that enables all decision makers to securely analyze, and interact with, billions of rows of live data with the unlimited scale and speed of the cloud. With Sigma, everyone can quickly answer their own questions to make and visualize accurate, data-driven decisions. We’re looking for a seasoned Product Manager to lead one of our most exciting new initiatives: Data Apps . In this high-impact role, you’ll define the vision, strategy, and roadmap for a brand-new 0→1 product - empowering our customers not just to uncover insights, but to act on them and automate powerful workflows . You'll be at the forefront of innovation, working hand-in-hand with customers to build something they’ll truly love. You’ll have direct exposure to Sigma’s executive leadership and partner closely with our go-to-market, engineering, and design teams to launch a category-defining product. This is a rare opportunity to drive major business growth, shape the future of our platform, and unlock entirely new revenue streams. Key Responsibilities Shape the vision: Define the strategy and roadmap for Data Apps, rally leadership around your vision, and keep the entire organization aligned and inspired. Deliver excellence at startup speed: Work hand-in-hand with world-class design and engineering teams to move fast, build iteratively, and launch exceptional products that wow our customers. Be the voice of the customer: Dive deep into customer needs and business goals, and turn those insights into product experiences that truly make a difference. Power our go-to-market success: Collaborate across Customer Success, Sales, and Marketing to craft a seamless and impactful GTM strategy. Build, learn, and evolve: Lead your team through rapid build-test-launch cycles, with a focus on quick iteration, smart learning, and continuous improvement. Qualifications Product Leadership: 8+ years of product management experience in B2B SaaS and startup environments, with a proven ability to build and scale impactful products. Experience building application platforms or similar technologies is a big plus. Technical Chops: Deep understanding of databases, data infrastructure, APIs, and security. Hands-on experience with data modeling or technical platforms is highly valued. Go-to-Market Expertise: Strong grasp of B2B GTM motions, with a proven track record of working closely and effectively with Sales, Customer Success, and Marketing teams. Design Instincts: A passion for intuitive UX — and experience partnering tightly with design teams to deliver products that feel effortless and delight users. Strategic Mindset: Ability to craft bold, long-term product strategies and drive them through clear, actionable roadmaps. Exceptional Communicator: Skilled at making complex ideas simple — whether you’re talking to engineers, executives, or customers. Cross-Functional Leader: Experienced at rallying teams, managing stakeholders, and keeping momentum high in fast-moving environments. Startup DNA: Action-oriented, resourceful, and adaptable - you’re energized by change and ready to roll up your sleeves to make things happen. Additional Job Details The base salary range for this position is $180k - $230k annually.  Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required. Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.    Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer.  We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow . Note: We have an in-office work environment in all our offices in SF, NYC, and London.  

Associate Technical Program Manager - Clinical Data Onboarding  Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our  company values . This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid  Who We Need   Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.  This Opportunity   We are looking for a Technical Program Manager that has a combination of technical expertise, project management skills, and a deep understanding of data systems and processes.   This role will oversee and coordinate data onboarding efforts while taking an active role in strategic and tactical initiatives to optimize and automate the onboarding workflow.  What You'll Do: Support the onboarding data integration lifecycle for member health systems. Identify opportunities to enable scalable approach towards data onboarding, encompassing both internal processes that support our health system members as well as those that involve direct member engagement. Collaborate with stakeholders to elicit, analyze, and document business and technical requirements that will enable onboarding efficiencies. Ensure action items, tasks and deliverables are completed on-time and to the quality bar expected by our partners. Key Qualifications 0-2 years of technical program or product management experience 1 year leading or participating in data projects B.S. or M.S. in Computer Science or related field Excellent project management skills Understanding of ETL processes and data modeling Comfortable (and thrive) with uncertainty Excellent written and verbal communication skills to effectively collaborate concepts with Product Management, Engineering and Data teams Why Truveta?    Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.   We Offer: Interesting and meaningful work for every career stage Great benefits package Comprehensive benefits with strong medical, dental and vision insurance plans 401K plan Professional development & training opportunities for continuous learning Work/life autonomy via flexible work hours and flexible paid time off Generous parental leave Regular team activities (virtual and in-person as soon as we are able) The base pay for this position is $95,000 to $105,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents  linked   here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.  

Data Analyst, Partner Research & Success Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our  company values . Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere.  In person attendance is required for one week during the year for Truveta Planning Week. For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote Who We Need   Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.  This Opportunity   The Analytics Response Team (ART) sits within Truveta’s broader Partner Analytics team and plays a critical role in coordinating with internal teams and supporting customers to get fast, high-quality answers from Truveta data. As a Partner Data Analyst on the ART team, you will help ensure customers find value in the data, support issue investigation, and build confidence in the platform through efficient, responsive analytics. You will support data quality efforts, conduct analyses, answer customer questions, and support new data releases. You will be solving consequential problems in healthcare using an EHR database of ~100 million patients (and growing!) and make an impact on patient care. As a Partner Data Analyst, you will work at the intersection of EHR data knowledge and efficient data delivery. You’ll support feasibility analyses, quickly summarize patient populations, and assist in identifying and tracking data issues. This position is ideal for someone with hands-on experience working with EHR or healthcare data, strong data wrangling skills, and a passion for translating data into actionable insights.   Responsibilities Wrangle large healthcare datasets and translating clinical concepts into structured queries. Summarize populations and generate feasibility numbers from clinical data quickly and accurately. Use technical skills to scope out customer analyses requests, produce studies and results using SQL, R and Python within an agreed upon deadline. Collaborate with life science, academic research organizations, and health system partners to conduct analyses. Collaborate with success managers and support team to ensure that Truveta partners can be successful with the platform. Provide technical analytics support and directly work with customers on calls to troubleshoot code and platform questions. Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on RWD to address their empirical questions. Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current customers. Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap. Required Skills Undergraduate or graduate level educational in clinical research, data analysis, clinical informatics or related field. Experience working with large relational database consisting of millions of patients' data. 2+ years of experience wrangling and analyzing Electronic Health Record data or other Real World Data sources in life science companies, CROs, other EHR data companies or healthcare using SQL, R and Python. Knowledge of clinical terminologies such as ICD, SNOMED, LOINC, NDC or RxNorm. Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts. Experience working with customers delivering high quality research analyses. Ability to learn and adapt quickly in a dynamic start-up environment. Preferred Qualifications These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them.   Experience working with unstructured clinical data or natural language processing outputs Spark/PySpark experience Regex query writing experience Experience building cohort definitions or eligibility criteria for research studies or trial design Why Truveta?    Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.   We Offer: Interesting and meaningful work for every career stage Great benefits package Comprehensive benefits with strong medical, dental and vision insurance plans 401K plan Professional development & training opportunities for continuous learning Work/life autonomy via flexible work hours and flexible paid time off Generous parental leave Regular team activities (virtual and in-person as soon as we are able) The base pay for this position is $105,000 to $130,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents  linked   here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.  

About Highnote  Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an embedded finance company that sets the standard in modern card platform management. As an all-in-one card issuer processor and program management platform, we provide digital-first organizations with the flexibility to seamlessly issue and process payment cards, embed virtual and physical card payments, and integrate ledger and wallet functionalities—empowering businesses to drive growth and profitability. We’ve raised $145M+ and have grown our team to 125+ employees. Headquartered in San Francisco, we’ve managed to build one of the most advanced payments teams in the industry, with team members in 25+ US states.  Operating through our core values of customer obsession, executional excellence, intentional inclusion, we’re helping businesses grow for the future by creating the payment products demanded by tomorrow, with the ability to solve for use cases that don’t exist yet. We are fast-moving, hands-on, and strongly believe everyone deserves a seat at the table. We believe we’re unlocking incredible opportunities that can change the future of payments, as long as we have the right people to make it happen. Job Description The Reporting and Analytics Team is a crucial part of the Data Organization, responsible for designing, building, and maintaining scalable reporting systems and analytics solutions. This team drives data-informed decision-making by generating actionable insights for both internal and external stakeholders while ensuring the reliability and performance of reporting pipelines and dashboards. What you’ll be doing Developing scalable, robust, and automated reporting systems to handle high-volume data needs and power data-driven decision-making. Creating analytics reports that provide actionable insights and meet diverse business and customer requirements. Modeling and designing modern data structures in SQL/NoSQL databases, ensuring optimal performance and scalability. Developing and maintaining dashboards using tools like Looker, Looker Studio, and other BI platforms to visualize high-volume data effectively. Writing robust, performant, and maintainable code for data processing and analytics. Crafting and optimizing complex SQL queries to handle high-volume data efficiently. Collaborating with internal business teams and external stakeholders to define requirements and deliver impactful reporting solutions. Documenting and maintaining workflows to support the scalability and reliability of reporting and analytics systems. What we are looking for 5+ years of experience in designing and developing high-volume reporting solutions and analytics pipelines. Expertise in Java and Python for building reporting jobs and data processing. Deep understanding of data modeling and working with relational and NoSQL databases. Ability to create highly performant, scalable, and maintainable codebases. Hands-on experience with reporting tools or frameworks (e.g., Tableau, Looker, or custom solutions). Bonus skills Experience with cloud platforms such as GCP or AWS Knowledge of ETL/ELT pipelines and transforming raw data into business-ready formats. Experience with data visualization best practices to design impactful dashboards. A background in the fin-tech space Why Highnote? We’re a startup that allows for our employees to truly build from the ground up and impact every layer of our organization.  We’re a team of payments obsessed individuals. While some of us come from the fintech world, some of us don’t. We value the varied backgrounds and the diverse perspectives of our employees.  We’re small on hierarchy and big on growth. We’re a flat organization that allows everyone to have direct exposure to our leadership team. We are looking for builders who thrive in ambiguity.  We’re backed by Oak HC/FT, Costanoa Ventures, Adams Street Partners, Westcap, and Pinegrove Venture Partners. Angel Investors include Bill Ready (CEO at Pinterest) and Renaud Laplanche (Co-Founder & CEO of Upgrade). Highnote benefits Flexible Paid Time Off  100% healthcare coverage + 75% coverage for dependents 401k program Paid Parental Leave: Up to 16 weeks paid leave for the birth parent, and up to 6 weeks paid leave for the non-birth parent Equity in Highnote Stipend to build out your home office; internet and phone reimbursement At Highnote we have built a total rewards philosophy that includes fair, equitable, geo-based compensation that is performance and potential based. Our compensation packages are competitive based on robust market research and are a combination of a cash salary, equity, and benefits. In compliance with the Equal Pay for Equal Work Act, the annual salary range for applicants is $170,000-$230,000. Please note that positions located in San Francisco are hybrid and include core working days of Tuesday, Wednesday, Thursday in office.  We provide flexible work options based on distance from our downtown SF office. Highnote believes in the power of face-to-face, personal connection. As a result, we prioritize in-person candidates.  Highnote is a diverse and inclusive company committed to growing a diverse and inclusive team. We invite people from all backgrounds and identities to apply. We do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other characteristics protected by US federal state or local laws, or the laws of the country or jurisdiction where you work. Additionally, we encourage everyone to share which pronouns you wish for us to use when addressing you (i.e.: she/her, he/him, they/them, etc).

*This is a contract, hybrid position through December 31, 2025.  Want to be part of an amazing team, hell-bent on crafting a better future? We’re always looking for creative people who care! We are analysts. Creators. Designers. Doers. Dreamers. Explorers. Geeks. Hipsters. Leaders. Learners. Renegades. Seekers. Strategists. Visionaries. And we fundamentally believe that we’re better together.   Would you like to... This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.   Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions   Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools   Perform multiple aspects involved in the development lifecycle – design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support   Provide technical leadership and collaborate within a team environment as well as work independently   Be a part of a DevOps team that completely owns and supports their product   Implement batch and streaming data pipelines using cloud technologies   Leads development of coding standards, best practices and privacy and security guidelines   Mentors' others on technical and domain skills to create multi-functional teams.   We would like you to have... Minimum Qualifications- Education & Prior Job Experience   Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions 3 years Data Engineering experience using SQL 2 years of cloud development (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps and Power BI. Combination of Development, Administration & Support experience in several of the following tools/platforms required: Scripting: Python, PySpark, Unix, SQL Data Platforms: Teradata, SQL Server Azure Data Explorer. Administration skills are a plus Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Power Apps, and Azure Functions CI/CD: GitHub, Azure DevOps, Terraform BI Analytics Tool Stack - Cognos, Power BI  Preferred Qualifications- Education & Prior Job Experience   5 years of software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions. 3+ years of Data Analytics experience using SQL 3+ years full-stack development experience, preferably in Azure 3+ years of cloud development (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps, and Power BI. 1+ years of FAST API experience is a plus Airline Industry Experience Skills, Licenses & Certifications Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating consumption layers. Azure Development Track Certification (preferred) Spark Certification (preferred)   A qualified candidate should possess the following:   1. Senior level experience with Azure and its services.   2. Senior level experience in leading others.   3. Senior level experience in formulating solutions and recognizing problems.   4. Ability to work with a geographically dispersed team.   5. Ability to work with Agile methodologies.   6. Good written and oral skills.   Would you like to work for an organization that… Embraces work-life balance – our employees’ well-being remains a top priority for us Promotes a culture of learning and advocacy across the globe - diversity will enable us to strengthen our impact Offers a comprehensive benefits package effective Day 1. Options include health, vision, & dental insurance, FSAs, discounts on pet insurance, PTO, paid holidays, and more Encourages innovation and experimentation Emphasizes and rewards collaboration Compensation: $42-$45/hr W2 This compensation range is indicative of the role. Compensation offered is on the basis of evaluation during interview process, the candidates range and depth of experience, business and market financials and internal pay parity. Please note that all official communications regarding this job opportunity will be sent from email addresses ending with @designit.com. Be cautious of any correspondence originating from other email domains and refrain from sharing personal information in such cases. Want to know more? Check us out at  https://www.designit.com/. Just so you know, we don’t have a dress code, but we do have a strict no jerk policy. Designit is committed to ensuring that all candidates have an equal opportunity to be considered for employment. Please let us know if you need any reasonable accommodation to participate in the job application or interview process.

*This position must be based in the Seattle area.  We’re always looking for critical thinkers who are curious, data-driven, have a growth mindset, and excel at creating strategic points of view by levering data and learnings.  We are consultants. Strategists. Creators. Doers. Achievers. Explorers. Geeks. Leaders. Learners. Renegades. Seekers. Visionaries. And we fundamentally believe that we’re better together. The technology practice at Designit is looking for a Data Engineer to help drive meaningful changes through the use of data for a large enterprise client. As a Data Engineer, you will be responsible for gathering data from various sources, ensuring its accuracy and completeness. You will integrate data from different sources into a unified system and transform raw data into a usable format for analysis. Your role will involve storing data in databases or data warehouses for easy access and retrieval, analyzing data to identify trends, patterns, and insights, and generating reports and visualizations to communicate findings to stakeholders. Additionally, you will implement security measures to protect data from unauthorized access and breaches, and monitor the performance of data systems, making improvements as needed. The ideal candidate is both collaborative and assertive, has strong communication skills, patience, logical thinking, and strong attention to details. This person is a great problem-solving and tactful critic, understanding how to improve the program and identify weak points without demotivating or confusing teammates.   Would you like to: Be a core player in driving data driven decisions for an enterprise organization Deliver clean, accessible, governed data for analytics and machine learning. Maintain data pipelines, ensuring all data connections are functioning correctly and efficiently Manage and oversee the Extract, Transform, Load (ETL) processes to ensure accurate and timely data integration Optimize queries to improve performance and reduce processing time Identify and incorporate machine learning/AI solutions to streamline processes and improve data quality. Develop and maintain stored procedures to automate repetitive tasks and ensure data consistency Manage databases to ensure they are up-to-date and function correctly Update existing data tables and create new ones as required by the business Establish connections to new or updated data sources as needed Lead the migration of a data infrastructure to a cloud solution and integrate with MSFT Fabric Ensure compliance with all applicable internal and external data management requirements We would like you to have.... Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Proficiency in SQL and database management. Experience with ETL processes and tools. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with data warehousing solutions like Snowflake, Redshift, or BigQuery. Understanding of data modeling and schema design. Proficiency in programming languages such as Python, Java, or Scala. Experience with data visualization tools such as Power BI, Tableau, Matplotlib, Seaborn. Experience with big data technologies like Hadoop, Spark, or Kafka. Knowledge of data governance and security practices. Willingness to visit client site for meetings 1-2 times per month Would you like to join a global organization that...   Embraces work-life balance – our employees’ well-being remains a top priority for us  Promotes a culture of learning and advocacy across the globe - diversity will enable us to strengthen our impact  Encourages innovation and experimentation  Understands that changes will occur, and adaptability is crucial to assist when it does  Emphasizes and rewards collaboration  Works remotely. We continue to safeguard the health of our employees so our interviewing and on-boarding process will remain virtual until further notice  Compensation: $100,000 - $105,000 This compensation range is indicative of the role. Compensation offered is on the basis of evaluation during interview process, the candidates range and depth of experience, business and market financials and internal pay parity. Please note that all official communications regarding this job opportunity will be sent from email addresses ending with @designit.com. Be cautious of any correspondence originating from other email domains and refrain from sharing personal information in such cases. Want to know more? Check us out at  https://www.designit.com/. Just so you know, we don’t have a dress code, but we do have a strict no jerk policy. Designit is committed to ensuring that all candidates have an equal opportunity to be considered for employment. Please let us know if you need any reasonable accommodation to participate in the job application or interview process.

*This is a contract, hybrid position through December 31, 2025.  Want to be part of an amazing team, hell-bent on crafting a better future? We’re always looking for creative people who care! We are analysts. Creators. Designers. Doers. Dreamers. Explorers. Geeks. Hipsters. Leaders. Learners. Renegades. Seekers. Strategists. Visionaries. And we fundamentally believe that we’re better together. Join us in shaping the future of empowered product teams. This job drives best-in-class analytics across our enterprise client's website, mobile app, and airport technologies. Works with different digital products and teams to understand business needs and provide data-backed insights into customer behavior to improve experience on our digital and airport technology assets. Collaborates with Product Management, Data Engineering, Customer Insights, User Experience and other external stakeholders evangelizing databased decision making, supporting site enhancements, monitoring the website app, and airport technologies for potential issues and analyzing visitor behavior supporting our OKRs. Job will mix short term ad hoc stakeholder requests with long term projects and support. Opportunities to share work with leadership and peers and strong team mentality working with other. Would you like to... Works with different customer technology teams to create health monitoring dashboards and alerts for all products using tools like Adobe Analytics, Azure Databricks, Teradata, Qualtrics, Celebrus and Quantum Metrics Utilizes data to break down issues and identify root causes impacting system health Builds dashboards, ad-hoc reports, and deep dives measuring OKRs Partners with different product teams on identifying and tracking relevant OKRs Helps connect the dots between digital data and data from other sources to drive deeper insights and analysis on customer behavior Works with stakeholders within digital and outside to efficiently track and monitor digital voice of the customer, drive insights and identify areas of opportunity Prepares updates for leadership team and stakeholder teams Evangelizes, leads and drives greater adoption of digital analytical tools within digital and outside through training sessions and office hours Shares best practices and develop systems knowledge to deliver new reports and enhance existing reports to meet business needs We would like you to have... 2-4+ years of experience and skills with PowerBI/Tableau SQL Python Preferred Qualifications Adobe Analytics / Google Analytics, Quantum Metric Driven and self-motivated. Does not shy away from hard problems. Passionate about data. Good communicator at all levels. This is a contract, hybrid position located in Dallas, TX (onsite 3 days per week).  Would you like to work for an organization that… Embraces work-life balance – our employees’ well-being remains a top priority for us Promotes a culture of learning and advocacy across the globe - diversity will enable us to strengthen our impact Offers a comprehensive benefits package effective Day 1. Options include health, vision, & dental insurance, FSAs, discounts on pet insurance, PTO, paid holidays, and more Encourages innovation and experimentation Emphasizes and rewards collaboration Compensation: $50-$55/Hr This compensation range is indicative of the role. Compensation offered is on the basis of evaluation during interview process, the candidates range and depth of experience, business and market financials and internal pay parity. Please note that all official communications regarding this job opportunity will be sent from email addresses ending with @designit.com. Be cautious of any correspondence originating from other email domains and refrain from sharing personal information in such cases. Want to know more? Check us out at  https://www.designit.com/. Just so you know, we don’t have a dress code, but we do have a strict no jerk policy. Designit is committed to ensuring that all candidates have an equal opportunity to be considered for employment. Please let us know if you need any reasonable accommodation to participate in the job application or interview process.

    Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost. The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms. As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions.  The measures of an ideal candidate include communication skills, technical proficiency, collaboration, mentorship, strategic-thinking, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications. The position will be located in Arlington, VA.   Position Responsibilities: Key Responsibilities and Essential Duties: Develop solutions to business problems using the data science life cycle. Develop and maintain data analytics solutions and machine learning algorithms Develop comprehensive project plans for implementing data science projects including solution architectures, resourcing, and dependencies. Use predictive modeling and classification techniques to improve LNG production efficiency and mitigate safety or downtime risks. Mine and analyze data from a data lake or data warehouse to drive optimization. Work with stakeholders to identify opportunities to leverage data science to drive business solutions. Understand where key decisions are needed and communicate options for solving business problems with stakeholders. Provide ETL requirements to data engineers to effectively curate files for data analytics. Document data science algorithms for maintainability. Work with IT leadership to further define the data science life cycle and enhance the data science technology stack and architecture. Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization. Assist in testing, governance, data quality, training, and documentation efforts. Mentor junior data scientists and data analysts. Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions. Job Qualifications 5+ Years of practical data science/data analytics experience. Bachelor’s degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study. Knowledge in cloud data analytics solutions, managing, developing, and maintaining machine learning solutions. Fundamental skills in data processing languages such as SQL, Python, or Scala. Knowledge in building data science solutions using cloud data services. Ability to self-manage and make your own decisions. Strong presentation skills to effectively communicate results of analytics to stakeholders. Strong documentations skills. Excellent interpersonal and communications skills, with strong critical thinking and attention to detail. Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment. Excellent attention to detail and the ability to efficiently summarize and prioritize information. Preferred Qualifications Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory. Experience using Databricks for machine learning algorithm development Experience in coding languages primarily PySpark, Python, and SQL. Experience in agile development and sprint planning. Experience utilizing DevOps Experience working with streaming datasets/IoT. Strong technical writing skills. Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.   #LI-Onsite         #LI-Onsite  

    Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost. The Data Engineer is responsible for developing, designing, and maintaining data platform solutions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications. The position will be located in Arlington, VA. Position Responsibilities: Key Responsibilities and Essential Duties: Build complex data solutions in an Azure Cloud environment. Maintain the Azure components and services. Develop architecture changes using infrastructure as code. Create data architectures diagrams for complex data modeling solutions. Create and maintain data dictionaries for contextualizing data from disparate sources. Enable end-to-end automation for deployment using continuous integration and continuous delivery. Implement data pipelines to ingest data to the platform, standardize the data, and transform the data into business facing datasets. Perform unit and integration testing of data pipelines. Perform data integration at scale with Azure Data Factory. Utilize Databricks to transform, curate, and organize data for use with business intelligence reporting and data analytics. Work with BI developers and business SMEs to translate business requirements into curated datasets suitable for analytics solutions. Document data pipelines for maintainability. Work with source system owners and business owners to incorporate business changes into data pipelines. Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization. Assist in testing, governance, data quality, training, and documentation efforts. Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions. Job Qualifications Bachelor’s degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study. 2+ years in cloud architecture and data engineering Extensive experience in implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure) Expertise in integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions. Understanding of parallel processing and data architecture patterns. Knowledgeable in data processing languages such as SQL, Python, or Spark. Experience in building secure data processing pipelines using Azure data services. Ability to self-manage and make your own decisions. Excellent interpersonal and communications skills, with strong critical thinking and attention to detail. Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment. Excellent attention to detail and the ability to efficiently summarize and prioritize information. Preferred Qualifications Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git Experience in coding languages primarily Python and Spark. Experience in agile development and sprint planning. Strong technical writing skills. Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.           #LI-Onsite         #LI-Onsite  

Senior Data Analyst, Member Experience At Current, we’re on a mission to enable our members to create better financial outcomes for themselves. Headquartered in NYC, we’re a leading U.S. fintech and one of the fastest growing companies with over million members. No matter your title, we welcome everyone to build great products, grow quickly, and make an impact together. ABOUT THE ROLE We are looking for a Senior Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. In this role, you will use data to drive strategic decisions, improve business performance, and enhance our customer interactions to create a seamless user experience. You will use advanced analytics to find trends, evaluate performance, and deliver strategic insights that facilitate data-driven decision-making within the Member Experience team and across the organization. The ideal candidate has a deep understanding of customer behavior, a passion for data-driven decision-making, and a proven ability to translate insights into actionable strategies. RESPONSIBILITIES Analyze customer data to identify trends, pain points, and opportunities to improve the member experience and drive operational efficiency.. Develop and maintain data pipelines, dashboards and reports to track key performance indicators (KPIs) that tie customer success effectiveness, member satisfaction, and engagement to business bottomline metrics. Utilize internal and third-party data to conduct in-depth analyses, identify gaps, mitigate friction and pain points, and optimize customer interaction across channels. Partner with cross-functional teams, including Product, Engineering, Finance, and Customer Success, and leverage such techniques as A/B testing and customer segmentation to enhance personalization and support strategies. Provide actionable insights to leadership on customer behaviors and sentiments, including outreach trends and satisfaction with support and product experiences. Ensure data integrity, accuracy, and governance in analytics pipelines across multiple customer interaction channels. Participate in on-call rotation to support production analytics data pipelines. Mentor junior analysts and contribute to a data-driven culture within the team. ABOUT YOU 5+ years of experience in data analytics, preferably in fintech, banking, or a customer-centric industry. Strong proficiency in SQL, Python, or R for data analysis and manipulation. Experience building reports and dashboards using data visualization tools such as Tableau, Looker, or Power BI. Expertise in customer support analytics, customer satisfaction score (CSAT) analysis, and operational efficiency metrics. Experience in A/B testing, customer segmentation, and deep dive analysis in the context of informing business strategies from user behaviors. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Strong project ownership and the ability to drive requirement gathering and prioritization. Experience with CRM systems (e.g., Zendesk) and customer feedback tools is a plus. Experience within the startup space is advantageous. Additional Skills and Qualifications Experience with Looker or other business intelligence tools is preferred. Exposure to dimensional modeling concepts to power meaningful analytics. Ability to visualize data effectively and communicate insights clearly and concisely. Experience modeling data using dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience working with Fintech, banks or a B2C company. This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Stock options 401(k) savings plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Unlimited time off and paid holidays Generous parental leave policy Commuter benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

Data Analyst, Banking  Current is a leading US-based fintech company dedicated to empowering individuals to achieve their financial goals. We're committed to providing innovative and accessible financial solutions, and data plays a crucial role in driving our success. We're looking for a talented and passionate Data Analyst to join our Banking team and help us leverage data to optimize our operations, enhance our products, and deliver exceptional customer experiences. ABOUT THE ROLE As a Data Analyst on the Banking team, you'll be at the forefront of shaping our understanding of customer behavior, banking product performance, and operational efficiency. You'll work closely with product managers, engineers, and other stakeholders to translate business questions into actionable insights. Your work will directly impact key decisions related to our banking products, features, and overall strategy. RESPONSIBILITIES Analyze large datasets to uncover trends, patterns, and improvement opportunities in banking products and services. Build and maintain dashboards and reports to track KPIs and deliver clear insights to stakeholders. Conduct discovery and deep-dive analyses to support data-driven decision-making. Partner with product managers and engineers to define and measure the success of features and initiatives. Design and evaluate experiments to optimize products and enhance customer experience. Monitor and analyze customer behavior across deposits, transactions, and other banking activities. Deliver actionable insights to leadership on emerging trends and innovation opportunities. Work with analytics and backend engineers to ensure accessible, accurate, and high-quality data. Communicate findings and recommendations effectively to both technical and non-technical audiences. Continuously improve data analysis processes and methodologies. Uphold data integrity, accuracy, and governance across analytics pipelines. Support production analytics and fraud response through participation in on-call rotations. This role has a base salary range of $130,000 - $175,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. REQUIREMENTS Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related field. Experience as a data analyst for 3+ years, ideally in B2C, financial services, or technology. Strong proficiency in SQL and experience working with relational databases (e.g., Bigquery, Snowflake, Redshift, etc). Proficient in utilizing data visualization tools like Tableau, Looker, or other similar platforms. Excellent analytical and problem-solving skills with a strong attention to detail. Ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences. Strong business acumen and the ability to translate business questions into data analysis plans. Experience with A/B testing and experimental design. Working experience with Python for data analysis. ADDITIONAL DESIRED SKILLS AND QUALIFICATIONS Familiarity with the fintech industry and banking products is a plus. Ability to thrive in a fast-paced, collaborative environment. Exposure to dimensional modeling concepts to power meaningful analytics. Experience building data pipelines in dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience modeling data using dbt.