Senior AWS Data Engineer (Strong Insurance domain/ Local candidate only)

We are

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 14,500+, and has 58 offices in 21 countries within key global markets.

Our Challenge:

This role will play a key part in enabling data-driven decision-making across the organization. The successful candidate will collaborate closely with data architects, enterprise architects, infrastructure, and other cross-functional teams to build data pipelines that are scalable and aligned to best practices for data management, change management, integration, and analysis This is an exciting opportunity to work on cutting-edge technologies, solve complex challenges, and drive impactful insights that fuel our company's success.

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 Piscataway, NJ is $120K-$130K/year & benefits (see below).

The Role

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL processes for the Enterprise Data Hub.
• Implement data ingestion, transformation, and storage solutions using AWS services (e.g., Glue, Redshift, S3, Athena, Lambda, EMR).
• Work with structured and unstructured data from various insurance systems (e.g., policy, claims, underwriting).
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
• Collaborate with enterprise architects to understand integration design patterns.
• Collaborate with infrastructure to align to best practices for code deployments and change management.
• Ensure data quality, integrity, and governance across the data lifecycle.
• Optimize data workflows for performance, scalability, and cost-efficiency.
• Support data cataloguing and metadata management initiatives.
• Implement security and compliance best practices for sensitive insurance data.

Requirements:

• 10+ years of experience in data engineering or related roles, preferably in the insurance industry.
• Strong hands-on experience with AWS data services (e.g., Glue, Redshift, S3, Athena, Lambda, EMR).
• Proficiency in SQL, Python, and data modelling.
• Experience with ETL tools and frameworks.
• Familiarity with insurance data domains (e.g., claims, policy, billing).
• Understanding of data governance, lineage, and compliance (e.g., HIPAA, GDPR).
• Experience with CI/CD and version control tools (e.g., Git, CodePipeline).
• AWS or Solutions Architect certifications are not required but preferred.
• Experience with data lakes and lakehouse architectures is a strong plus.
• Exposure to BI tools (e.g., Power BI, Tableau, QuickSight) is preferred.
• Bachelor s or Master s degree in Computer Science, Data Engineering, or related field is a strong plus.
• Excellent organizational, communication, and interpersonal skills.
• Ability to work individually with limited oversight.
• Ability to prioritize, multi-task, and maintain flexibility in a fast-paced, changing environment.
• Demonstrated ability to influence and work effectively within a global organization with employees at all levels.
• Motivated, team-oriented, with strong problem-solving and project management skills.

We offer:

• 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 (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.