Sr. Data Engineer

Location: Charlotte, NC

Time Type: Full time

Job Description

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 17,000+, and has 58 offices in 22 countries within key global markets.

Our challenge

We are seeking a highly skilled Senior Data Engineer to design, develop, optimize, and maintain enterprise-scale data integration and data warehousing solutions. The ideal candidate will have strong experience in ETL/ELT development, data modeling, database technologies, cloud data platforms, and modern data engineering practices. This role will involve collaborating with business stakeholders, data analysts, data architects, and application teams to deliver reliable, scalable, secure, and high-performance data pipelines and analytics solutions, particularly for finance and enterprise reporting environments.

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).

The Role

Responsibilities:

• Design and implement scalable, secure, and governed data pipelines for finance analytics and enterprise reporting.
• Build and maintain Lakehouse architectures using Bronze, Silver, and Gold data layers.
• Develop high-performance data ingestion and transformation processes at enterprise scale.
• Build and optimize batch and near-real-time data pipelines.
• Develop scalable data integration solutions using ETL/ELT tools and cloud-native technologies.
• Perform data profiling, cleansing, validation, reconciliation, and data quality assessments.
• Design and implement dimensional data models, including star and snowflake schemas.
• Optimize SQL queries, database performance, data processing, and ETL workflows for high-volume environments.
• Integrate data from relational databases, APIs, files, SaaS applications, and other enterprise data sources.
• Collaborate with business users, data analysts, architects, and application teams to understand reporting and analytics requirements.
• Translate business requirements into technical data solutions and reusable data pipelines.
• Implement monitoring, logging, alerting, and operational support mechanisms for data pipelines.
• Establish and enforce data governance, security, access control, privacy, and compliance standards.
• Troubleshoot data pipeline failures, performance issues, data discrepancies, and production incidents.
• Maintain technical documentation, data dictionaries, source-to-target mappings, and pipeline design specifications.
• Participate in code reviews, testing, deployment, and continuous improvement of data engineering processes.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
• Experience in data engineering, ETL/ELT development, data warehousing, or a related role.
• Strong proficiency in SQL and experience working with relational databases.
• Hands-on experience developing data pipelines using technologies such as:
• Apache Spark
• Python
• SQL
• ETL/ELT platforms
• Workflow orchestration tools
• Experience with cloud data platforms such as:
• Microsoft Azure
• Amazon Web Services
• Google Cloud Platform
• Experience designing and implementing data warehouses, data lakes, and Lakehouse architectures.
• Strong understanding of data modeling concepts, including dimensional modeling, fact and dimension tables, slowly changing dimensions, star schemas, and snowflake schemas.
• Experience with batch processing and near-real-time or streaming data pipelines.
• Knowledge of data quality, data validation, reconciliation, metadata management, and data governance practices.
• Experience with version control systems such as Git.
• Familiarity with CI/CD, automated testing, deployment pipelines, and infrastructure automation.
• Strong analytical, troubleshooting, communication, and problem-solving skills.
• Experience with cloud data services such as:
• Databricks
• Azure Data Factory
• Azure Synapse Analytics
• Amazon Redshift
• AWS Glue
• Amazon EMR
• Google BigQuery
• Google Cloud Dataflow
• Experience with Delta Lake, Apache Iceberg, or Apache Hudi.
• Knowledge of Apache Kafka, Azure Event Hubs, Amazon Kinesis, or other streaming technologies.
• Experience with Airflow, Azure Data Factory, Dagster, Prefect, or similar orchestration tools.
• Familiarity with dbt or other modern ELT frameworks.
• Experience with Power BI, Tableau, or other business intelligence platforms.
• Knowledge of containerization and deployment technologies such as Docker and Kubernetes.
• Familiarity with DevOps practices and cloud security principles.
• Experience working with financial, accounting, banking, or regulatory data is a plus.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 22 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.

S​YNECHRON’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.

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