Python Data Engineer with PySpark and Pytest

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile‑first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

We are seeking a skilled Python Data Engineer with hands‑on experience in PySpark and Pytest to design, develop, test, and maintain scalable data pipelines and processing solutions. The ideal candidate will have strong Python programming skills, experience working with large datasets, and a solid understanding of data engineering, ETL/ELT, and automated testing practices.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Pittsburgh, PA/Dallas, TX is $105k - $110k/year & benefits (see below).

• Develop data pipelines and applications using Python and PySpark.
• Build REST APIs and backend services using Django and Flask.
• Design and manage MongoDB databases, schemas, indexes, and queries.
• Develop Kafka producers and consumers for real‑time data processing.
• Implement data transformation, validation, cleansing, and integration workflows.
• Write unit and integration tests using Pytest.
• Optimize application and Spark‑job performance.
• Troubleshoot data, application, and production issues.
• Collaborate with data scientists, software engineers, QA, and Dev Ops teams.
• Participate in code reviews, Agile ceremonies, and CI/CD activities.

• Experience in Python development and data engineering.
• Strong knowledge of Python, PySpark, Django, Flask, MongoDB, Kafka, and Pytest.
• Experience with REST APIs, ETL/ELT pipelines, and distributed data processing.
• Proficiency in SQL and working with JSON, CSV, and Parquet data formats.
• Experience with Git, automated testing, and Agile methodologies.
• Strong analytical, communication, and problem‑solving skills.

• Experience with AWS, Azure, or Google Cloud.
• Knowledge of Docker, Airflow, Databricks, or CI/CD tools.
• Familiarity with Kafka topics, partitions, consumer groups, and offset management.

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On‑demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (Fin Labs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world’s leading tier‑one banks, financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse, fun‑loving, and global work culture.

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, & Inclusion (DEI) initiative ‘Same…