ETL / Data Engineer (BigQuery & Starburst)

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 & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs 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 16,700+, and has 57 offices in 22 countries within key global markets. As an ETL / Data Engineer (BigQuery & Starburst) , your challenge is to design, build, and optimize modern data platforms that process and analyze massive volumes of enterprise data. You will leverage Google BigQuery, Starburst/Trino, Python, SQL, and Spark to create scalable ETL/ELT pipelines, deliver high-performance analytics solutions, and enable business stakeholders to make data-driven decisions. Your expertise will help improve data quality, governance, performance, and cost efficiency while supporting cloud-native data architectures and distributed query processing frameworks. 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 Charlotte, NC is $110K - $120K/year & benefits (see below). Job Description: Must have strong hands-on experience with Google BigQuery , including data modeling, query tuning, performance optimization, and cost management. Extensive experience designing and developing ETL/ELT pipelines for large-scale data processing environments. Strong expertise with Starburst, Trino, or Presto for distributed and federated query processing. Proficient in Python, SQL, and Spark-based processing frameworks . Experience working with workflow orchestration tools such as Apache Airflow, Azure Data Factory (ADF), or similar scheduling platforms . Strong understanding of data warehousing concepts , dimensional modeling, and data architecture best practices. Experience handling structured, semi-structured, and unstructured data across enterprise platforms. Knowledge of data governance, metadata management, data lineage, and data quality frameworks. Experience optimizing data pipelines for scalability, reliability, and operational efficiency. Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) . Strong analytical, troubleshooting, and problem-solving skills. Experience with data integration, transformation, and migration projects. Understanding of CI/CD practices and DevOps methodologies for data engineering. Experience working within Agile/Scrum development environments. Excellent communication, collaboration, and stakeholder management skills. Ability to create technical documentation, data flow diagrams, and solution designs. Banking and Financial Services domain experience is highly preferred. Job Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform large volumes of enterprise data. Build and optimize BigQuery data models and queries to ensure maximum performance, scalability, and cost efficiency. Implement distributed query processing solutions using Starburst, Trino, or Presto to enable seamless access to enterprise-wide data. Develop data transformation frameworks using Python, SQL, and Spark for batch and real-time processing workloads. Create and manage data orchestration workflows utilizing Airflow, ADF, or equivalent scheduling and automation tools. Collaborate with business stakeholders, architects, and data analysts to gather requirements and translate them into scalable data solutions. Optimize data processing performance and reliability through tuning, monitoring, and troubleshooting of pipelines and workloads. Implement data governance and quality controls to ensure data accuracy, consistency, lineage, and compliance standards. Support enterprise data warehousing initiatives by designing efficient schemas and supporting analytical reporting requirements. Integrate data from multiple source systems through robust ingestion and transformation frameworks. Develop reusable components and best practices to enhance data engineering productivity and maintainability. Utilize cloud-native capabilities within GCP to build scalable and cost-effective data solutions. Support CI/CD implementation and deployment automation for data engineering projects. Participate in Agile ceremonies and technical reviews , contributing to sprint planning, estimation, and code reviews. Document technical architecture, data flows, and operational procedures to support ongoing maintenance and knowledge sharing. Research and recommend emerging technologies and best practices to continuously improve data platform capabilities and operational efficiency. We offer: A highly competitive compensation and benefits package. A multinational organization with 60 offices in 20 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 (FinLabs) 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.

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

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, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. #J-18808-Ljbffr Synechron