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Flexible Principal Data Engineer Jobs (NOW HIRING)

Principal Data Engineer Location: Detroit, MI 48201 (Hybrid) Experience: 10+ Years $72/hr on W2 Job Summary We are looking for a Principal Data Engineer with strong experience in modern cloud data ...

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Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct Hire The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in ...

$120 - $160/hr

Principal Data Engineer Principal Data Engineer Job Type: Contract W2 Location: Johnston, RI or Charlotte, NC or Boston, MA Role Overview Principal-level Java engineer to design and build enterprise ...

As a Principal Data Engineer, you will architect and oversee the development of robust data ... Flexible work models where possible. Refer to the Work Location Type in the job posting to see if ...

Principal Data Engineer

Charlotte, NC · On-site

$100K - $110K/hr

Principal Data Engineer - Principal Data Engineer Job Type: Contract W2 Location: Johnston, RI or Charlotte, NC or Boston,MA Role Overview: Principal-level Java engineer to design and build ...

As a Principal Data Engineer, you will architect and oversee the development of robust data ... Flexible work models where possible. Refer to the Work Location Type in the job posting to see if ...

As a Principal Data Engineer, you will architect and oversee the development of robust data ... Flexible work models where possible. Refer to the Work Location Type in the job posting to see if ...

We have a flexible work environment, and fluid career paths. We not only encourage but celebrate ... The Principal Data Engineer is a senior hands-on engineering role responsible for designing ...

NY · On-site

$180 - $240/hr

Summary**We are seeking a highly experienced Principal Data Engineer to provide technical leadership for mission-critical Security/Product Master Data Platforms and other enterprise-scale data ...

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How much do flexible principal data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for flexible principal data engineer in the United States is $147,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $173,000.00 per year, depending on experience, location, and employer.
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Infographic showing various Flexible Principal Data Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $147,220 per year, or $70.8 per hour.

Principal Data Engineer

Spruce Infotech

Detroit, MI • On-site

$72/hr

Other

Posted yesterday

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Job description

Position: Principal Data Engineer
Location: Detroit, MI 48201 (Hybrid)
Experience: 10+ Years
$72/hr on W2
Job Summary
We are looking for a Principal Data Engineer with strong experience in modern cloud data engineering, data architecture, and enterprise data platforms.
Key Skills
  • AWS - S3, Glue, Lambda, EMR, Redshift
  • Snowflake - Data Warehousing, Data Modeling, Performance Optimization
  • Python & SQL
  • dbt - Data Transformation, Modeling, Testing
  • IBM DataStage - ETL Development & Modernization
  • ETL/ELT - Enterprise Data Integration & Pipeline Development
  • Data Governance - Data Quality, Metadata, Lineage, Security & Compliance
  • CI/CD, Git, DevOps, and data pipeline automation

Responsibilities
  • Lead the design and development of scalable enterprise data platforms and pipelines.
  • Develop and optimize ETL/ELT solutions using AWS, Snowflake, Python, dbt, and DataStage.
  • Drive modernization of legacy data integration platforms.
  • Implement data quality, governance, security, and lineage standards.
  • Provide technical leadership, architecture guidance, and mentoring to data engineering teams.
  • Partner with architects, business stakeholders, analytics, and governance teams.

Qualifications
  • 10+ years of Data Engineering experience with Principal/Senior-level technical leadership.
  • Strong hands-on experience with AWS, Snowflake, Python, dbt, DataStage, and SQL.
  • Deep understanding of data warehousing, data modeling, ETL/ELT, and cloud data architecture.
  • Excellent communication, problem-solving, and technical leadership skills.