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Trainee Junior Python Developer Jobs in Massachusetts

SynergisticIT

junior software programmer fullstack

Boston, MA · On-site

$72K - $94K/yr

Whether you're a recent graduate, someone with a career gap, or a laid‑off developer, We help you ... Python/Java developers, data analysts, data engineers, data scientists, and machine learning ...

Geode Capital Management

Senior Data Engineer

Boston, MA · Hybrid

$165K - $185K/yr

Mentor new or junior team members and participate in code reviews * Iteratively deliver high ... Strong Python programming skills with a focus on data engineering and data pipeline development

STR

Lead Software Engineer

Woburn, MA · On-site

... and networking, while mentoring junior engineers and leading technical discussions ... Python, C, C++, or similar interpreted or low-level programming languages • Experienced with ...

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All JobsPython Developer JobsTrainee Junior Python Developer JobsTrainee Junior Python Developer Jobs in Massachusetts

Trainee Junior Python Developer information

What is the difference between Trainee Junior Python Developer vs Junior Python Developer?

AspectTrainee Junior Python DeveloperJunior Python Developer
Required CredentialsBasic programming knowledge, often in training or courseworkProven understanding of Python, some project experience
Work EnvironmentTraining programs, supervised tasksIndependent coding, project contributions
Employer UsageEntry-level, internship, or trainee rolesFull or part-time junior roles in companies
Search & Comparison IntentLearning and entry-level opportunitiesJob responsibilities and experience level

The main difference is that a Trainee Junior Python Developer is typically in training or an internship, focusing on learning and gaining experience, while a Junior Python Developer has already acquired foundational skills and is expected to contribute to projects independently.

Trainee Junior Python Developer jobs near you
Infographic showing various Trainee Junior Python Developer job openings in Massachusetts as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution.

Data Warehouse Software Engineer III

Somerville, MA • On-site

Babel Street
1 - 10 employees
Learn more about Babel Streetexternal

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 hours 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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