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Data Engineer Contract Jobs in Exton, PA (NOW HIRING)

Lead Data Engineer | Onsite - Delaware

Wilmington, DE ยท On-site

$111K - $133K/yr

Define schema-first data contract design using JSON Schema/Avro/Protobuf . * Drive rollout of the ... Report delivery status, risks, and blockers to engineering leadership. Must-Have Qualifications ...

Lead Data QA

Philadelphia, PA

$130K/yr

e&e is seeking a Lead Data QA for a hybrid contract opportunity in Philadelphia, PA. The Lead Data ... The ideal candidate possesses a deep understanding of data engineering, automation frameworks, and ...

Head of Data Engineering, AI CoE

Wilmington, DE ยท On-site

$171K - $321K/yr

Solid-line management of AI Data Engineers deployed into pods. * Leads a team responsible for ... Experience operating data contracts, lineage, and certification models in a regulated or quality ...

Data Scientist

Philadelphia, PA ยท On-site

$60/hr

Philadelphia, PA (Local candidates only) - Duration: Long-term contract - Client: UST Global ... teams (e.g., data engineers, product managers). Mandatory Skills: - SQL, Python, Tableau ...

ETL/Data Developer

Malvern, PA ยท On-site

$50 - $65.50/hr

Position : ETL/Data Developer Location : Malvern, PA Hybrid (3 days a week onsite & must be willing to relocate and be onsite on day 1) Duration : Long term contract * Must complete a coding ...

Head of Data Engineering, AI CoE

Wilmington, DE ยท On-site

$171K - $321K/yr

Solid-line management of AI Data Engineers deployed into pods. * Leads a team responsible for ... Experience operating data contracts, lineage, and certification models in a regulated or quality ...

Showing results 21-40

Data Engineer Contract information

See Exton, PA salary details

$42.9K

$125.2K

$171.3K

How much do data engineer contract jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineer contract in Exton, PA is $125,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $132,700.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the most commonly searched types of Data Engineer jobs in Exton, PA? The most popular types of Data Engineer jobs in Exton, PA are:
What are popular job titles related to Data Engineer Contract jobs in Exton, PA? For Data Engineer Contract jobs in Exton, PA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Contract jobs in Exton, PA look for? The top searched job categories for Data Engineer Contract jobs in Exton, PA are:
What cities near Exton, PA are hiring for Data Engineer Contract jobs? Cities near Exton, PA with the most Data Engineer Contract job openings:
Infographic showing various Data Engineer Contract job openings in Exton, PA as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,195 per year, or $60.2 per hour.

Lead Data Engineer | Onsite - Delaware

Photon

Wilmington, DE โ€ข On-site

$111K - $133K/yr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description


Key Responsibilities
  • Own delivery of relational and canonical data models and the organization's MDM (master data management) strategy.

  • Set standards for advanced SQL usage and appropriate use of NoSQL patterns where relational modeling doesn't fit.

  • Define schema-first data contract design using JSON Schema/Avro/Protobuf.

  • Drive rollout of the data catalog and enforce PII classification and data-regulation compliance across pipelines.

  • Own delivery of the Snowflake/enterprise data warehouse and data pipelines between ODS and warehouse.

  • Drive delivery of data change detection (CDC) and the data validation/quality testing framework.

  • Own "contract as code" governance: data schema management via CI/CD and Git-based data governance.

  • Select and stand up appropriate AWS data services for the platform.

  • Run day-to-day delivery of the offshore team: sprint commitments, code/design review, real-time unblocking, and hands-on work on critical-path pipelines.

  • Report delivery status, risks, and blockers to engineering leadership.

Must-Have Qualifications
  • 8+ years in data engineering, with 3+ years as a tech lead owning end-to-end delivery (not a pure design/review architect role).

  • Proven track record of shipping data platforms on committed timelines, including hands-on troubleshooting under delivery pressure.

  • Deep expertise in relational and canonical data modeling and MDM design.

  • Expert-level SQL and solid understanding of when NoSQL patterns are appropriate.

  • Proven experience designing schema-first data contracts (JSON Schema/Avro/Protobuf).

  • Experience architecting data catalog tooling and PII classification/data regulation compliance (critical given financial-services context).

  • Strong hands-on architecture experience with Snowflake or an equivalent enterprise data warehouse.

  • Proven design of data pipelines between operational data stores and the warehouse.

  • Experience architecting change-data-capture and data validation/quality frameworks.

  • Demonstrated experience implementing "contract as code" - schema management via CI/CD, Git-based governance.

  • Solid knowledge of relevant AWS data services (e.g., RDS, Redshift, Glue, DMS, Lake Formation).

  • Financial-services or similarly regulated-industry data governance experience is strongly preferred.

  • Strong stakeholder communication; able to directly manage day-to-day delivery of an offshore team (standups, unblocking, sprint accountability).

Nice-to-Have Qualifications
  • Experience with specific data catalog tools (e.g., Collibra, Alation, AWS Glue Data Catalog).

  • Exposure to multiple warehouse platforms beyond Snowflake.

  • Experience building data-quality frameworks with tools like Great Expectations or dbt tests.

  • Relevant certifications (Snowflake SnowPro, AWS Data Analytics Specialty).

Compensation, Benefits and Duration
Minimum Compensation: USD 56,000
Maximum Compensation: USD 196,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post