Senior Data Engineer
Merkle · Posted Oct 13
Data-driven customer experience management, marketing, and digital transformation services
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About the role
Merkle, Dentsu's data and technology agency, is seeking a Data Engineer to develop and maintain robust data pipelines and analytics infrastructure. The team works on hands-on, cloud-native data platform initiatives focused on Databricks and SQL. This Senior Data Engineer role builds ETL/ELT pipelines with Databricks, PySpark, and Python, monitors data quality, and collaborates with data scientists and analytics teams.
What you will do
- Develop and deploy ETL/ELT pipelines using Databricks, PySpark, and SQL for data ingestion, transformation, and loading
- Write clean, efficient SQL and Python code for data processing, validation, and analytics
- Support data pipeline maintenance, monitor job executions, and troubleshoot data quality issues within SLA timelines
- Collaborate with Senior Engineers, Data Scientists, and Analytics teams to understand requirements and deliver solutions
- Implement data validation, error handling, and logging mechanisms to ensure pipeline reliability
- Document code, architecture decisions, and runbooks for operational excellence
- Participate in code reviews and contribute to knowledge sharing within the engineering team
Skills used in this role
What the employer is looking for
- 5+ years of professional experience in data engineering, ETL development, or data analytics engineering
- Strong proficiency in Databricks (Spark SQL, PySpark) with real-world pipeline development experience
- Solid SQL skills including query optimization, joins, aggregations, and window functions
- Hands-on experience with Python for data processing and scripting
- Experience with cloud platforms such as Azure Data Factory, AWS Glue, or similar ETL services
- Understanding of data architecture, data modeling, and relational databases
- Strong problem-solving skills with attention to data quality and accuracy
Preferred qualifications
- Databricks Certified Data Engineer (Associate) OR
- Snowflake SnowPro Core Certified OR
- AWS Certified Data Engineer (Associate) OR equivalent professional data engineering certification
- Experience with orchestration tools (Apache Airflow, Tidal, Control-M, etc.)
- Familiarity with cloud data warehousing (Snowflake, Redshift, BigQuery)
- Experience with Git, CI/CD pipelines, and version control
- Knowledge of Agile methodologies and experience working in cross-functional teams
- Background in data validation frameworks and data quality testing
Benefits and support
- Compensation and benefits are detailed in the job posting
About Merkle
Merkle is a data-driven, technology-enabled customer experience management (CXM) company and part of the dentsu network. It specializes in delivering unique, personalized customer experiences across platforms and devices by leveraging deep capabilities in data science, analytics, and CRM. The company operates globally, helping enterprise brands drive business growth and long-term customer loyalty.
- Industry
- Digital Marketing
- Company size
- 10001+ employees
- Founded
- 1988
- Location
- Columbia, Maryland, USA
- Funding stage
- Acquired
Funding
Acquired
Leadership
Global President
Chairman / Former CEO
Chief Technology Officer, Americas
Chief Operating Officer, Americas
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