{"schemaVersion":"jobsearcher.job.v1","id":"bfab9e6638e3f53e4bf1775b","url":"https://jobsearcher.com/jobs/bfab9e6638e3f53e4bf1775b","canonicalUrl":"https://jobsearcher.com/jobs/bfab9e6638e3f53e4bf1775b","title":"Data Engineer (Python) - Remote","description":"Job Description Insomniac Design is a global digital agency headquartered in Washington D.We’re an agile, determined and innovative team organized by functional areas of expertise — Creative, Technology, Strategy, and Management. We specialize in human-centered design with deep focus on design thinking and digital transformation.At Insomniac, we leverage AI to free our teams from routine tasks so they can focus on the aspects of our functions that are most valuable. We thrive on creative problem-solving, collaboration, and innovation. By thoughtfully integrating AI into our workflows, we’re not only improving productivity but also ensuring our people have the tools to do their best work. As a Senior Data Engineer , you will architect, build, and optimize scalable data platforms that empower our clients with unified, actionable insights. You will lead the design of robust data pipelines, enforce best practices in data governance and security, and mentor junior engineers. Your expertise will bridge technical execution and strategic vision, ensuring high-performance, secure, and scalable data solutions that drive business 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).Data Architecture & InfrastructureDesign and implement scalable data architecture that ensures high availability, security, and performance.Define best practices for data modeling, storage, retrieval, and governance.Optimize database structures, schemas, indexing, and partitioning for efficient query performance.Implement CI/CD for data pipelines and automate infrastructure using Infrastructure-as-Code (IaC) tools.Data Pipelines & ETL DevelopmentArchitect and develop end-to-end ETL/ELT pipelines for structured and unstructured data ingestion, processing, and transformation.Automate and optimize data workflows using tools like Apache Spark, Kafka, Airflow, and dbt.Monitor, troubleshoot, and optimize data pipeline performance.Data Governance, Security & ComplianceImplement data governance policies, including metadata management, lineage tracking, and role-based access control (RBAC).Ensure compliance with data privacy regulations (e.g., Develop frameworks for data quality validation, anomaly detection, and integrity checks.Drive automation of data workflows, including CI/CD for pipelines and Infrastructure-as-Code (IaC) solutions.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.Proven track record of leading data projects, including migrations, warehousing, and real-time analytics.Strong problem-solving skills for debugging distributed systems and resolving data anomalies.Experience with Agile/Scrum methodologies, including tools like Jira, Git.Nice-to-Have (Bonus Skills)Certifications in cloud/data technologies (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer).Experience with ML pipelines (e.g., feature stores, model deployment).Contributions to open-source data projects.Insomniac Design offers a competitive salary and benefits package including health and life insurance as well as 401k contribution. Please note, candidates who are eligible to work in the US without visa sponsorship are eligible to apply.","company":"Insomniac Design","rawCompany":"insomniac design","city":"Washington","state":"DC","isRemote":true,"isActive":false,"createdAt":"2026-10-11T07:32:07.265Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer (Python) - Remote","description":"Job Description Insomniac Design is a global digital agency headquartered in Washington D.We’re an agile, determined and innovative team organized by functional areas of expertise — Creative, Technology, Strategy, and Management. We specialize in human-centered design with deep focus on design thinking and digital transformation.At Insomniac, we leverage AI to free our teams from routine tasks so they can focus on the aspects of our functions that are most valuable. We thrive on creative problem-solving, collaboration, and innovation. By thoughtfully integrating AI into our workflows, we’re not only improving productivity but also ensuring our people have the tools to do their best work. As a Senior Data Engineer , you will architect, build, and optimize scalable data platforms that empower our clients with unified, actionable insights. You will lead the design of robust data pipelines, enforce best practices in data governance and security, and mentor junior engineers. Your expertise will bridge technical execution and strategic vision, ensuring high-performance, secure, and scalable data solutions that drive business 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).Data Architecture & InfrastructureDesign and implement scalable data architecture that ensures high availability, security, and performance.Define best practices for data modeling, storage, retrieval, and governance.Optimize database structures, schemas, indexing, and partitioning for efficient query performance.Implement CI/CD for data pipelines and automate infrastructure using Infrastructure-as-Code (IaC) tools.Data Pipelines & ETL DevelopmentArchitect and develop end-to-end ETL/ELT pipelines for structured and unstructured data ingestion, processing, and transformation.Automate and optimize data workflows using tools like Apache Spark, Kafka, Airflow, and dbt.Monitor, troubleshoot, and optimize data pipeline performance.Data Governance, Security & ComplianceImplement data governance policies, including metadata management, lineage tracking, and role-based access control (RBAC).Ensure compliance with data privacy regulations (e.g., Develop frameworks for data quality validation, anomaly detection, and integrity checks.Drive automation of data workflows, including CI/CD for pipelines and Infrastructure-as-Code (IaC) solutions.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.Proven track record of leading data projects, including migrations, warehousing, and real-time analytics.Strong problem-solving skills for debugging distributed systems and resolving data anomalies.Experience with Agile/Scrum methodologies, including tools like Jira, Git.Nice-to-Have (Bonus Skills)Certifications in cloud/data technologies (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer).Experience with ML pipelines (e.g., feature stores, model deployment).Contributions to open-source data projects.Insomniac Design offers a competitive salary and benefits package including health and life insurance as well as 401k contribution. Please note, candidates who are eligible to work in the US without visa sponsorship are eligible to apply.","datePosted":"2026-10-11T07:32:07.265Z","dateModified":"2026-10-11T07:32:07.265Z","hiringOrganization":{"@type":"Organization","name":"Insomniac Design","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bfab9e6638e3f53e4bf1775b"},"url":"https://jobsearcher.com/jobs/bfab9e6638e3f53e4bf1775b"}}