Data Engineer

IO Associates
United States
1 day ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Query Performance Artificial Intelligence Airflow Amazon S3 Data Analysis Data Architecture Information Engineering Data Infrastructure Data Integration Data Security Data Stores Data Warehousing
+28 more
Relational Databases Distributed Computing Environment Identity and Access Management Python (Programming Language) PostgreSQL Machine Learning MySQL Operational Databases Cloud Services Software Engineering SQL Databases Data Streaming Unstructured Data Data Storage Technologies Real Time Systems Data Ingestion Apache Spark Containerization Kubernetes Infrastructure Automation Frameworks Information Technology Apache Kafka Machine Learning Operations Functional Programming Cloudwatch Terraform Data Pipelines Docker

Job description

Seeking a talented Data Engineer to play a vital role in shaping and maintaining the data foundation essential for Our Client’s AI-native readiness solutions. This position offers a unique opportunity to work on high-stakes, high-volume datasets from defence and government clients, transforming raw data into reliable, analysis-ready inputs that directly influence decision-making processes. As a key member of the team, you will collaborate closely with data scientists, machine learning engineers, and platform specialists to develop robust data pipelines and infrastructure that meet stringent security and compliance standards. This role is instrumental to advancing the company’s mission of delivering operational certainty and actionable insights., * Design, develop, and sustain scalable, secure data pipelines for data ingestion, transformation, and delivery, accommodating both cloud and hybrid environments.

  • Manage structured and unstructured data to support AI/ML workflows, analytics, and application development.
  • Collaborate with cross-functional teams to productionise data workflows, feature pipelines, and model inputs.
  • Enhance automation processes for data quality, validation, lineage tracing, and monitoring.
  • Optimize data storage solutions, query performance, and cost-efficiency across relational and object data repositories.
  • Implement data security protocols, access controls, and governance consistent with government and defence standards.
  • Support data integration efforts within secure DoD environments and customer-specific settings.
  • Troubleshoot and resolve data-related issues to ensure pipeline reliability and performance.
  • Work with platform and AI engineers to maintain secure, scalable, and efficient data architecture., Joining Our Client means becoming part of a dedicated team tackling significant national and infrastructure challenges. From day one, you will have opportunities to take ownership of meaningful projects and accelerate your professional growth in a rapidly expanding organisation. Benefits include comprehensive health coverage, flexible working arrangements, unlimited paid time off, and a collaborative environment committed to excellence and innovation. Whether working in the office or remotely, you will be empowered to make a real difference with your expertise.

Requirements

  • Active US Government Security Clearance (SECRET or higher) is mandatory.
  • Bachelor’s degree in Computer Science, Engineering, or a related discipline.
  • Minimum of 4 years’ experience in data engineering and building production data pipelines.
  • Proficiency in Python and SQL.
  • Hands-on experience with distributed processing frameworks such as Spark.
  • Strong knowledge of relational databases (PostgreSQL, MySQL) and data modelling.
  • Advanced experience with AWS cloud services (S3, RDS, EMR, Lambda, IAM, CloudWatch) in secure environments.
  • Proven track record of implementing data quality, validation, and observability solutions.
  • Familiarity with containerisation (Docker, Kubernetes) and Infrastructure as Code tools like Terraform.

Nice-to-Have Skills

  • Experience deploying within DoD environments or using platforms like Platform One or Palantir FedStart.
  • Knowledge of security standards such as NIST 800-53, NIST 800-171, and CMMC 2.0.
  • Supporting data infrastructure for Machine Learning/Data Science teams.
  • Experience with data orchestration tools such as Airflow, dbt, or Dagster.
  • Familiarity with streaming data or real-time processing technologies like Kafka.
  • Knowledge of data warehousing or lakehouse architectures.
  • Experience working within fast-growing teams and mentoring junior engineers.

About the company

Our Client is a pioneering organisation at the forefront of AI-driven solutions for defence, government, and critical infrastructure sectors. With a heritage rooted in advanced research and innovation, the company is renowned for its commitment to solving some of the world’s most complex, mission-critical challenges through cutting-edge AI technology. Known for a culture that values transparency, results, and compassion, Our Client fosters an environment where talented professionals can thrive and make a tangible impact. By continually pushing the boundaries of innovation, they have developed a portfolio of patents and are leading the transition towards agent-driven readiness in AI applications.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:18 min

Scaling MySQL databases for massive user growth

Johannes Nicolai Johannes Nicolai +1 · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

Videos

See all

Related articles

See all