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Weekend Data Engineer Contract Jobs in Boston, MA

Inficare Technologies

Data Architect

Boston, MA · On-site

$69.50 - $89.25/hr

Job Title:- Data Architect Location:- Boston, MA (Hybrid) Duration:- Contract JD * Design and ... Partner with business, data engineering, and platform teams to enable financial reporting solutions

Apex Systems

Robotic Engineer

Westborough, MA · On-site

Robotics Test Engineer Contract: 6+ Month (potential for extension or conversion) Please advise ... Collect, document, analyze, and report testing results and system performance data. * Support ...

Whoop

Senior Data Product Engineer

Boston, MA · On-site

$115K - $156K/yr

Collaborate with Data Engineers and Data Platform Engineers to improve upstream data quality, influence data contracts, and ensure reliable delivery of business-critical datasets. * Drive adoption of ...

Foley

Staff Product Manager, Data & Analytics

Boston, MA · On-site

$150 - $210/hr

... contracts in close partnership with engineering * Own Silver and Gold layer data definitions - what the data means, and how it can be consumed by applications, agents, and self-service users

Transcend Softech LLC

Databricks Engineer

Boston, MA · On-site

Boston, MA Long Term Contract * Overall experience 7 to 8 years in Scala-Spark data engineering and Data pipeline design * Overall experience 7 to 8 years in Scala-Spark data engineering and Data ...

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All JobsData Engineer Contract JobsWeekend Data Engineer Contract JobsWeekend Data Engineer Contract Jobs in Boston, MA

Weekend Data Engineer Contract information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do weekend data engineer contract jobs pay per year?

As of Sep 6, 2026, the average yearly pay for weekend data engineer contract in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 per year, depending on experience, location, and employer.

What is a Weekend Data Engineer Contract?

A Weekend Data Engineer Contract is a temporary or freelance position where a data engineer works primarily on weekends. These roles typically involve building, maintaining, or optimizing data pipelines and databases, ensuring data quality, and supporting analytics needs during weekend shifts. This setup is often used by companies that require continuous data operations or have projects with tight deadlines. Weekend contracts can provide flexibility for both the engineer and the employer, and may be ideal for those seeking additional income or balancing other commitments.

What are some common challenges faced by Weekend Data Engineer Contractors, and how can they overcome them?

Weekend Data Engineer Contractors often encounter challenges such as limited access to stakeholders, tight turnaround times, and ensuring smooth handovers with weekday teams. To address these, clear documentation, proactive communication, and strong version control practices are essential. Working autonomously but staying aligned with the broader data engineering team helps ensure continuity and quality in deliverables.

What are the key skills and qualifications needed to thrive as a Weekend Data Engineer Contractor, and why are they important?

To thrive as a Weekend Data Engineer Contractor, you need strong proficiency in data engineering principles, including ETL processes, database management, and programming languages like Python or SQL, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and relevant certifications (e.g., AWS Certified Data Analytics) is typically required. Strong problem-solving, effective communication, and the ability to work independently are crucial soft skills for this role. These skills and qualifications ensure high-quality, reliable data solutions are delivered efficiently during limited weekend hours, meeting project deadlines and client expectations.

What is the difference between Weekend Data Engineer Contract vs Weekend Data Analyst Contract?

AspectWeekend Data Engineer ContractWeekend Data Analyst Contract
Required CredentialsTypically requires a degree in Computer Science, Data Engineering certifications, SQL, Python, and cloud platform knowledgeUsually requires a degree in Data Science, Statistics, or related fields, with proficiency in SQL, Excel, and data visualization tools
Work EnvironmentPrimarily technical, involving building data pipelines, ETL processes, and data infrastructureFocuses on analyzing data, generating reports, and providing insights for decision-making
Employer & Industry UsageUsed in tech companies, finance, healthcare, and industries with large data needsCommon in marketing agencies, retail, finance, and any sector requiring data reporting

Weekend Data Engineer Contracts involve building and maintaining data infrastructure, requiring technical skills and certifications. In contrast, Weekend Data Analyst Contracts focus on analyzing data and creating reports. Both roles are in demand across various industries but serve different functions within data teams.

What are popular job titles related to Weekend Data Engineer Contract jobs in Boston, MA?

For Weekend Data Engineer Contract jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer Contract jobs in Boston, MA look for?

The top searched job categories for Weekend Data Engineer Contract jobs in Boston, MA are:

What cities near Boston, MA are hiring for Weekend Data Engineer Contract jobs?

Cities near Boston, MA with the most Weekend Data Engineer Contract job openings:

Weekend Data Engineer Contract jobs near you

Data Warehouse Software Engineer III

Babel Street

Somerville, MA • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago

Key responsibilities

  • Architect, build, and maintain production-grade ELT/ETL data pipelines that stream and batch high-volume, complex datasets into Google BigQuery.

  • Manage, monitor, and upgrade the Apache Airflow / Cloud Composer platform, including writing DAGs in Python and optimizing cluster performance.

  • Maintain and optimize core GCP data services such as BigQuery, Cloud Storage, Cloud Functions/Run, Pub/Sub, and IAM, including implementing performance tuning strategies.

Job description

Babel Street is the trusted technology partner for the world's most advanced identity intelligence and risk operations. We deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K. For more information, visit www.babelstreet.com.
We are looking for an experienced Data Warehouse Software Engineer III to own, scale, and optimize our core Google Cloud Platform (GCP) data warehousing and ingestion ecosystem!
In this role, you will be a key technical contributor responsible for architecting high-volume data ingestion pipelines into Google BigQuery, orchestrating complex workflow topologies in Apache Airflow (Cloud Composer), and maintaining the performance and reliability of our enterprise data warehouse. You will collaborate closely with cross-functional software, data, and analytics teams to integrate disparate commercial and government data sources into clean, highly available, and query-optimized data models.
This is an experienced engineering role requiring strong Python skills, deep expertise across the entire GCP analytics stack, and hands-on experience managing and upgrading production Airflow environments.
Key Responsibilities:
  • Data Warehouse & Pipeline Engineering: Architect, build, and maintain production-grade ELT/ETL data pipelines that stream and batch high-volume, complex datasets into Google BigQuery.
  • Airflow Management & Platform Upgrades: Manage, monitor, and upgrade our Apache Airflow / Cloud Composer platform. Write clean, modular, and maintainable DAGs in Python, implement custom operators/hooks, and optimize cluster performance.
  • GCP Architecture & Optimization: Maintain and optimize core GCP data services (BigQuery, Cloud Storage, Cloud Functions/Run, Pub/Sub, IAM). Implement advanced BigQuery performance tuning (partitioning, clustering, slot management, and query cost control).
  • Python Engineering & Integrations: Develop high-performance Python scripts, API connectors, and automation tools for data extraction, schema validation, and third-party data integrations.
  • Data Quality & Integrity: Enforce strict data quality frameworks, monitoring, and automated alerting across all ingestion pipelines to ensure zero data loss and minimal latency.
  • Technical Leadership & CI/CD: Maintain infrastructure-as-code and CI/CD deployment pipelines for data workloads using Git. Assist in architectural reviews and mentor junior engineers on data warehousing best practices.

Job Requirements:
  • U.S. Citizenship: Must be a U.S. Citizen due to federal government contract requirements.
  • Software Engineering Experience: 4-7+ years of professional software development experience, with at least 3+ years focused heavily on data warehousing, cloud data pipelines, and data platform operations.
  • Advanced Python Mastery: Production-grade Python development skills for data processing, custom pipeline tooling, and API integrations.
  • Airflow Platform Operations: Hands-on experience with Apache Airflow (Cloud Composer preferred), including DAG architecture, troubleshooting, environment configuration, and platform version upgrades.
  • GCP Ecosystem Expertise: Deep experience with the Google Cloud analytics suite-specifically BigQuery, Cloud Storage (GCS), Cloud Composer, Pub/Sub, and Cloud Functions/Run.
  • BigQuery Optimization: Advanced understanding of BigQuery architecture, DDL/DML, partitioning, clustering, slot allocation, and query cost-control strategies.
  • DevOps & Version Control: Proficient with Git, CI/CD pipelines, and modern software development workflows.

Preferred Qualifications:
  • GCP Certification: Google Cloud Certified Professional Data Engineer (highly preferred).
  • High-Volume Data Experience: Experience working with multi-terabyte or billion-row datasets, unstructured web-scraped data, or streaming architectures.

• Security & Compliance: Familiarity with government compliance frameworks, IAM policy design, and data encryption standards.
Benefits at Babel Street (just to name a few...)
  • Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances - for you and your family!
  • Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
  • Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
  • Holidays: Babel Street provides employees with 12 paid Federal Holidays
  • Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co-worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.
Range for this position based on qualifications and experience
$120,000-$135,000 USD

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