
Lead Data Engineer
Remote · USContract$70–75/hrSeen todaySeen in employer's feed today
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At a glance
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Job overview
The Senior Data Engineer will design, develop, and optimize scalable enterprise data warehouse solutions and data pipelines. The role uses Snowflake, SQL, Python, Azure data services, and workflow orchestration tools, while supporting metadata management, data lineage, and governance. The position is 100% remote, offered on a 12+ month contract, and is open to candidates in Pennsylvania, New Jersey, and New York.
Skills & qualifications
Skills
Qualifications
Full job description
We are seeking an experienced Senior Data Engineer with strong hands-on expertise in Snowflake, SQL, Python, and enterprise data warehouse development. The ideal candidate will have extensive experience designing, developing, and optimizing scalable data solutions and enterprise data pipelines.
Position Details
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Job Title: Senior Data Engineer
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Contract: 12+ Months
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Location: 100% Remote
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Pay Rate: $70- $75 /hr on W2
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Eligible States: Pennsylvania (PA), New Jersey (NJ), and New York (NY)
Key Responsibilities
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Design, develop, and maintain scalable enterprise data warehouse solutions using Snowflake.
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Build and optimize complex SQL queries, data models, and data pipelines.
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Develop data engineering solutions using Python and SQL.
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Work with Azure Data Factory and Azure data services for data integration and pipeline orchestration.
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Build, manage, and optimize workflows using Airflow, Informatica, or Automic.
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Perform SQL performance tuning and troubleshoot data pipeline issues.
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Implement and maintain metadata management, data lineage, and data governance practices.
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Collaborate with cross-functional teams to support enterprise data initiatives.
Required Qualifications
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8+ years of overall Data Engineering experience.
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5+ years of hands-on experience with Snowflake.
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Strong proficiency in SQL and Python development.
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Extensive experience in Snowflake Data Warehouse design and development.
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Hands-on experience with Azure Data Factory / Azure Data Framework.
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Experience with workflow orchestration tools such as Airflow, Informatica, or Automic.
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Strong understanding of SQL performance tuning and data pipeline optimization.
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Knowledge of metadata management and data lineage.
Preferred Qualifications
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Experience working with Pharma data.
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Exposure to Omnichannel data and related enterprise data platforms.
Interested candidates are encouraged to apply with their updated resume.
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.
How this job compares
Set against the 2,963 open Data Engineering jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$70–75/hr
- US median$51–60/hr92 hourly ranges
This range's midpoint, $72.50/hr, is 30% above the US median midpoint ($56/hr) — in the middle half of Data Engineering hourly ranges across the US.
- Openings
- Olive Jobs lists 99 open Data Engineering jobs in New Jersey and 2,963 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in New Jersey
- EY12 open
- Deloitte8 open
- JPMorgan Chase7 open
- Experience
- This posting asks for at least 8 years of experience; Data Engineering postings that state a minimum ask for 5 years at the median (2,540 postings).
- Education
- 1,099 of the 2,963 open Data Engineering jobs (37%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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