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Senior Data Engineer
Insomniac DesignSenior Data Engineer at Insomniac Design leading the architecture and optimization of data platforms. Building robust data pipelines and ensuring high-performance, secure, and scalable data solutions.
Posted 7/6/2026full-timeWashington, DC • District of Columbia, Washington • 🇺🇸 United StatesSenior💰 $115,000 - $150,000 per yearWebsite
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSAzureBigQueryCloudETLGoogle Cloud PlatformKafkaMySQLOraclePostgresPythonSparkSQL
About the role
Key responsibilities & impact- Architect and implement enterprise-grade data platforms, including data lakes, warehouses, and real-time pipelines.
- Define and enforce data engineering standards, including ETL/ELT frameworks, data modeling, and quality controls.
- Lead performance optimization of databases, queries, and pipelines (e.g., partitioning, indexing, cost-efficient cloud solutions).
- Design and implement scalable data architecture that ensures high availability, security, and performance.
- Define best practices for data modeling, storage, retrieval, and governance.
- Architect and develop end-to-end ETL/ELT pipelines for structured and unstructured data ingestion, processing, and transformation.
Requirements
What you’ll need- 7+ years of experience in data engineering with a proven track record of building scalable data solutions.
- Expertise in SQL and relational database management systems (MySQL, PostgreSQL, Oracle).
- Proficiency in Python (or similar languages) for data processing and automation.
- Deep understanding of cloud platforms (AWS, GCP, Azure) and cloud-native data services:AWS (Redshift, Glue, S3)Azure (Synapse, Data Factory)GCP (BigQuery, Dataflow)
- Hands-on experience with big data tools:Apache Spark, Kafka, Airflow, dbt, Snowflake, Databricks
- Expertise in data modeling.
- Strong knowledge of data security, governance, and compliance frameworks.
Benefits
Comp & perks- health and life insurance
- 401k contribution
ATS Keywords
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Hard Skills & Tools
Data ArchitectureETL/ELT FrameworksData ModelingDatabase Performance OptimizationData Quality Controls