Senior Data Engineer – AWS

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June 19

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Aptus Data Labs

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Artificial Intelligence • SaaS • B2B

Aptus Data Labs is a data engineering and enterprise AI company that builds scalable AI platforms, generative intelligence solutions, and data modernization services for large organizations. The company delivers industry-focused AI and analytics products (including aptplan, aptGenAI and other platforms) and services—covering advisory, cloud migration, MLOps/LLMOps, AI governance, and on-demand talent—to help pharmaceutical, banking, manufacturing, retail and other enterprises accelerate decision-making, compliance, and operational efficiency. Aptus partners with cloud and AI providers, offers pre-built accelerators and IP, and focuses on B2B deployments and enterprise-scale SaaS solutions.

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

📋 Description

• Design and develop reliable, reusable ETL/ELT pipelines using AWS Glue, Python, and Spark. • Process structured and semi-structured data (e.g., JSON, Parquet, CSV) efficiently for analytics and AI workloads. • Build automation and orchestration workflows using Airflow or AWS Step Functions. • Implement AWS-native data lake/lakehouse architectures using S3, Redshift, Glue Catalog, and Lake Formation. • Consolidate data from APIs, on-prem systems, and third-party sources into a centralized platform. • Optimize data models and partitioning strategies for high-performance queries. • Ensure secure data architecture practices across AWS components using encryption, access control, and policy enforcement. • Collaborate with platform and security teams to maintain compliance and audit readiness (e.g., HIPAA, GxP).

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent. • 5–8 years of experience in data engineering, preferably in AWS cloud environments. • Proficient in Python, SQL, and AWS services: Glue, Redshift, S3, IAM, Lake Formation. • Experience managing IAM roles, security policies, and cloud-based data access controls. • Hands-on experience with orchestration tools like Airflow or AWS Step Functions. • Exposure to CI/CD practices and infrastructure automation. • Strong interpersonal and communication skills—able to convey technical ideas clearly.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options