
Enterprise - Cloud Software Engineer - Spark, MapReduce, Pandas
Overview
Schedule
Flexible-schedule
Full-time
Career level
Senior-level
Remote
On-site
Compensation
$175,000-$195,000/year
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Job Description
Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to make decisions and put forth new ideas. Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers.Description We are seeking a talented and motivated Cloud-Based Analytics Developer to join our team. You will be responsible for developing and maintaining high-performance analytic solutions that process heavy volumes of data. This is an excellent opportunity for someone experienced in data analytics writing, and a passion for big data and distributed computing.Clearance A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
Experience
Seven (7) years’ experience as a SWE, in programs and contracts of similar scope, type, and complexity is required. Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree. Required skills:- Spark and/or MapReduce and/or SQL/NOSQL and/or Pandas/Numpy/SciPy
- Above Market Hourly Pay
- 11% Roth or Traditional 401k with Immediate Vesting and Deposit
- Spot Bonuses for Assisting with Business Development and Company Growth
- Professional Development Bonuses for Certificates and Degrees
- Company subsidized Medical Coverage
- 100% Company Paid Vision and Dental Coverage
- 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance
- Monthly Wellness Reimbursement
- Paid Time Off with Flexible Work Schedules and Birthday Off
- Amazon Prime Membership andMonthly InternetReimbursement
- Technology and Productivity Allowance for Equipment and Supplies
- Morale Building and Company Events to Celebrate our Successes and Build our Community
- Onboarding and Annual Swag
- Company Paid Professional Development and Training
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FAQs About Enterprise - Cloud Software Engineer - Spark, MapReduce, Pandas Jobs at Erias Ventures
What is the work location for this position at Erias Ventures?
This job at Erias Ventures is located in Annapolis Junction, Maryland, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Erias Ventures?
Candidates can expect a pay range of $175,000 and $195,000 per year.
What employment applies to this position at Erias Ventures?
Erias Ventures lists this position under the following employment categories:
- Flexible-schedule
- Full-time
What experience level is required for this role at Erias Ventures?
Erias Ventures is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Erias Ventures for this role?
Erias Ventures offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, Disability Insurance, Life Insurance, Paid Vacation, Flexible/Unlimited PTO, Career Development, 401k Matching/Retirement Savings, Tuition/Education Assistance, Home Office Reimbursement/Stipend, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Erias Ventures?
You can apply for this role at Erias Ventures either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.