Senior Data Engineer

Job not on LinkedIn

🕒 June 30, 2025

☕ Washington – Remote

☕ Washington – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Insomniac Design

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1999

🤝 B2B

📱 Media

🏢 Enterprise

B2B • Media • Enterprise

Insomniac Design is an innovative global digital agency committed to making a lasting impact on brands, people, and communities through human-centered design thinking and elite UX, visuals, and secure technologies. The agency specializes in digital strategy, ideation, and innovation, working with clients worldwide to deliver transformative solutions. Insomniac Design's portfolio includes projects such as the digital overhaul and intranet launch for Brand USA. With headquarters in Washington, D. C. , the company operates internationally, maintaining productive communication across global team members and clients.

📋 Description

• 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.

🎯 Requirements

• 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. • Ability to lead cross-functional teams and manage client expectations. • Strong problem-solving skills for debugging distributed systems and resolving data anomalies. • Experience with Agile/Scrum methodologies, including tools like Jira, Git. • Excellent communication and stakeholder management 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.