Senior Data Engineer
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Role details
Tech stack
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Job description
The Senior Data Engineeris responsible fordesigning, building, andmaintainingthedata pipelines, transformation layers, and data models that power the enterpriselakehouse. This role is a technical anchor on the data engineering team, delivering robust ELT/ETL solutions and serving as a mentor to junior engineers., Designand implement scalable batch and streaming data pipelines using Apache Spark, Kafka, and Flink
Buildandmaintainthe Bronze/Silver/Gold medallion architecture within thelakehouse(Delta Lake / Iceberg)
Developandoptimizecomplex SQL andPySparktransformations for large-scale datasets
Integratestructured, semi-structured, and unstructured data sources into thelakehouse
Collaboratewith data architects to evolve the physical and logical data models
Implementdata quality checks and monitoring using Great Expectations ordbttests
Requirements
6+ years of data engineering experience witha track recordof enterprise-scale delivery
Expertproficiencyin Python and SQL;PySparkexperiencerequired
Hands-on experience with Apache Spark, Delta Lake, or Apache Iceberg
Experiencewith orchestration tools: Apache Airflow, Prefect, orDagster
Strongknowledge of cloud data services: AWS Glue, Azure Data Factory, GCP Dataflow
Proficiencywith version control (Git), CI/CD pipelines, and containerization (Docker/Kubernetes)
Experiencewithdbt(data build tool) for transformation layer management
Bachelor’sdegree in Computer Science, Engineering, or related technical field
PREFERRED QUALIFICATIONS
Experiencewith Databricks, Snowflake, or Apache Hudi
Knowledgeof streaming architectures and Apache Kafka
Certifications: Databricks Certified Data Engineer, AWS Data Analytics Specialty
Benefits & conditions
The base salary range for this position in is $130K-$150K/yr; however, base pay offered may vary depending on location, job-related knowledge, skills, and experience. A discretionary incentive program may be provided as part of the compensation package, in addition to a full range of medical and other benefits, dependent on full-time employment status.
About the company
At Dynata, we deliver the highest quality first-party data to help businesses around the world gain precise insights, activate the right audiences, and confidently measure impact. With industry-leading respondent accuracy, reliability, and a commitment to continuous improvement, Dynata is the trusted foundation for smarter decision-making.
At Dynata, we are committed to creating an inclusive and accessible environment where every employee and customer feels valued, respected, and supported. We strive to build a workforce that reflects the diversity of the communities we serve. Dynata welcomes and encourages applications from individuals with disabilities and is dedicated to fostering a work culture that supports everyone. Accommodations are available upon request for all aspects of the selection process.
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