The company is looking to solve the problem of designing, building, and optimizing modern data platforms that power advanced analytics and AI solutions for clients across various industries, including critical industries such as Government, Defense, Aerospace, Utilities, and Oil and Gas.
Requirements
- Proficiency in Python, Scala, or Java for production-grade pipelines, with strong skills in SQL and PySpark
- Hands-on experience with cloud platforms such as (AWS, GCP, Azure, Oracle) and modern data storage/warehouse solutions such as Snowflake, BigQuery, Redshift, and Delta Lake
- Practical experience with Databricks, AWS Glue, and transformation frameworks like dbt, Dataform, or Databricks Asset Bundles
- Knowledge of distributed systems such as (Spark, Dask, Flink) and streaming platforms (Kafka, Kinesis, Pulsar) for real-time and batch processing
- Familiarity with workflow orchestration tools such as (Airflow, Dagster, Prefect), CI/CD for data workflows, and infrastructure-as-code (Terraform, CloudFormation)
- Understanding of DataOps principles including pipeline monitoring, testing, and automation, with exposure to observability tools such as Datadog, Prometheus, and Great Expectations
- Exposure to ML platforms such as (Databricks, SageMaker, Vertex AI), MLOps best practices, and GenAI toolkits (LangChain, LlamaIndex, Hugging Face)
Responsibilities
- Develop a streaming data platform to integrate telemetry for predictive maintenance in aerospace systems
- Implement secure data pipelines that reduce time-to-insight for a Fortune 500 utility company
- Optimize large-scale batch and streaming workflows for a global financial services client, cutting infrastructure costs while improving performance
- Develop pipelines for embeddings and vector databases to enable retrieval-augmented generation (RAG) for a global defense client
- Collaborate with clients and interdisciplinary teams to architect scalable pipelines, manage secure and compliant data environments, and unlock the value of complex datasets across industries
- Sharpen expertise by working on innovative projects, contributing to R&D, and learning from top-tier talent in a dynamic, global environment
- Work in cross-functional Agile teams with Data Scientists, Machine Learning Engineers, Designers, and domain experts to deliver high-quality analytics solutions
Other
- U.S. Citizenship is required for this role (you must be able to be staffed on Critical Industries work which includes Government, Defense, Aerospace, Utilities, etc.)
- Degree in Computer Science, Business Analytics, Engineering, Mathematics, or related field
- 2+ years of professional experience in data engineering, software engineering, or adjacent technical roles
- Willingness to travel as required
- Strong communication, time management, and resilience, with the ability to align technical solutions to business value
