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Join a $140M Series D stage Healthcare Data startup that works with 70% of the top US pharmaceutical and biotech companies as their 100% USA-Remote East Coast SeniorData Engineer.
Compensation: $150K-$200K + Bonus + Stock Options
Openings: 2
Work Location: 100% USA-Remote East Coast
Applicants must live in AZ, CA, CT, DC, DE, FL, GA, IL, IN, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, PA, RI, SC, TN, TX, UT, VA, VT, WA, WI, or WV to be considered.
Benefits:
Job Description
The SeniorData Engineer will be responsible for designing and developing scalable data pipelines and data products.
Additional Responsibilities:
Team Size: 3
Career Growth: This is an Individual Contributor (IC) role, however, the role does have the ability to be a player/coach in the future and possibly a people manager down the line if that is what they want.
Qualifications
Successful SeniorData Engineer applicants will have 5+ years of data engineering experience working with Python, Spark, and AWS experience.
Additional Qualifications:
Must be authorized to work in the United States without any restriction
Pharma data experience (also medical claims, pharmacy claims, EMR/EHR, or lab data)
Applicants must live in AZ, CA, CT, DC, DE, FL, GA, IL, IN, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, PA, RI, SC, TN, TX, UT, VA, VT, WA, WI, or WV to be considered
Must be able to work in the USA without any current or future work restrictions
Additional Information
Your application will be reviewed by a real human. Feedback will be provided. Your patience is appreciated.
Interview Process:
1⃣: Phone Interview with Recruiter (15-minutes)
2⃣: Technical take-home assessment, reviewed by Hiring Manager
3⃣: Hiring Manager Zoom interview (60-minutes)
4⃣: Zoom interview with the team (60-minutes)
Decision
Join a $140M Series D stage Healthcare Data startup that works with 70% of the top US pharmaceutical and biotech companies as their 100% USA-Remote East Coast SeniorData Engineer.
Compensation: $150K-$200K + Bonus + Stock Options
Openings: 2
Work Location: 100% USA-Remote East Coast
Applicants must live in AZ, CA, CT, DC, DE, FL, GA, IL, IN, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, PA, RI, SC, TN, TX, UT, VA, VT, WA, WI, or WV to be considered.
Benefits:
- 80% Employer-Paid coverage for health, dental, and vision care (coverage starts on Day 1)
- Bonus based on personal performance
- Equity plan (after 1 year with a 4-year vest)
- 401(k) savings plan, life insurance, and long-term disability
- 4 Weeks PTO
Job Description
The SeniorData Engineer will be responsible for designing and developing scalable data pipelines and data products.
Additional Responsibilities:
- Develop a petabytes-scale data platform.
- Optimize data for consumption, utilization, and analytics, including data science, machine learning, and statistical use cases.
- 70% coding /engineering
- 10% team engagement
- 10% documentation
- 10% architecture and planning
Team Size: 3
Career Growth: This is an Individual Contributor (IC) role, however, the role does have the ability to be a player/coach in the future and possibly a people manager down the line if that is what they want.
Qualifications
Successful SeniorData Engineer applicants will have 5+ years of data engineering experience working with Python, Spark, and AWS experience.
Additional Qualifications:
Must be authorized to work in the United States without any restriction
Pharma data experience (also medical claims, pharmacy claims, EMR/EHR, or lab data)
Applicants must live in AZ, CA, CT, DC, DE, FL, GA, IL, IN, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, PA, RI, SC, TN, TX, UT, VA, VT, WA, WI, or WV to be considered
Must be able to work in the USA without any current or future work restrictions
Additional Information
Your application will be reviewed by a real human. Feedback will be provided. Your patience is appreciated.
Interview Process:
1⃣: Phone Interview with Recruiter (15-minutes)
2⃣: Technical take-home assessment, reviewed by Hiring Manager
3⃣: Hiring Manager Zoom interview (60-minutes)
4⃣: Zoom interview with the team (60-minutes)
Decision
