Today
Secret
Mid Level Career (5+ yrs experience)
$125,000 - $150,000
Engineering - Systems
Remote/Hybrid•Leawood, KS (Off-Site/Hybrid)
ECCO Select is a talent acquisition and consulting company specializing in people, process and technology solutions. We provide the talent behind the technology enabling our clients to achieve their goals. For more information about ECCO Select, visit us at www.eccoselect.com.
Position Title: Data Engineer - Mid -Level
Location: Leawood, KS (hybrid)
Clearance: Must be willing and able to obtain, Secret preferred
As a Data Engineer for our client, you will be at the forefront of building software that scales across our client's platform capabilities. Your software will be deployed across an array of operational and research & development efforts for mission-critical customer programs and projects.
Each of our customers requires unique technical solutions to enable an asymmetric advantage on the battlefield. Our client's patented software helps remove common obstacles such as manual-intensive data processing, parsing, and analysis, thereby reducing cognitive burden for the warfighter. Our end-to-end data processing, orchestration, and fusion platform supports a wide variety of military use cases, domains, operations, and echelons. Customers enjoy enterprise-grade capabilities that meet specialized needs.
Our client encourages company-wide collaboration to share context, skills, and expertise across a variety of tools, technologies, and development practices. You’ll work autonomously while driving coordinated, collaborative decisions across cross-functional teams comprised of defense and national security experts, veterans, business leaders, and experienced software engineers. Your code will advance back-end data orchestration and graph-compute capabilities to deliver elegant data and intelligence products. You will have the opportunity to harden and scale existing platform capabilities, tools, and technologies, while also working to innovate and introduce new iterative capabilities and features which benefit our company and customers.
Successful candidates thrive in a fast-paced, entrepreneurial, and mission-driven environment. We hire brilliant patriots. You’ll be encouraged to think creatively, challenge conventional thinking, and identify alternative approaches for delivering value to customers across complex problem sets. Your day-to-day will vary, adapting to the requirements of our customers and the technical needs of respective use cases. One day, you may be supporting the development of a new proof of capability concept for a new customer program; another you may be focused on optimizing system performance to help scale a production deployment; the next you may be working directly with customers to understand their requirements with deep intellectual curiosity.
- Our flat operating model puts every employee at the forefront of our customers’ missions.
- We value customer intimacy, unique perspectives, and dedication to delivering lasting impact and results. You’ll have the opportunity to work on the frontlines of major customer programs and influence lasting success for our client and your teammates.
- You’ll have the opportunity to gain experience across a wide range of projects and tasks, from designing and demonstrating early capabilities and prototypes to deploying large-scale mission systems.
- You’ll contribute directly to our clients continued position as a market leader for data infrastructure AI and compete against multi-billion-dollar incumbents and high-tech AI companies.
Responsibilities:
- Design, build, and maintain scalable data pipelines using tools like Apache NiFi, Airflow, or equivalent orchestration systems.
- Work with structured and semi-structured data using SQL and NoSQL systems (e.g., PostgreSQL, MongoDB, Elasticsearch, Neo4j).
- Develop services and integrations using Java (primary) and optionally Python for ETL workflows and data transformation.
- Integrate data from internal and external REST APIs; handle data format translation (e.g., JSON, Parquet, Avro).
- Optimize data flows for reliability and performance, and support large-scale batch and streaming data jobs.
- Implement and document ETL mappings, schemas, and transformation logic aligned with mission use cases.
- Collaborate with software, DevOps, and AI teams to support downstream data science and ML workflows.
- Use Git-based workflows and participate in CI/CD processes for data infrastructure deployments.
- Contribute to application specifications, data quality checks, and internal documentation.
What We Value:
- B.S. degree in Computer Science, Technology, Engineering, or a relevant field.
- 4–6 years of experience in data engineering, backend software engineering, or data integration roles.
- Strong experience with Java development in data pipeline or ETL contexts; Python is a plus.
- Proficiency with SQL and NoSQL databases, including query optimization and large dataset processing.
- Familiarity with data integration tools such as Apache NiFi, Airflow, or comparable platforms.
- Knowledge of RESTful API interactions, JSON parsing, and schema transformations.
- Exposure to cloud environments (especially AWS: S3, EC2, Lambda) and distributed systems.
-Comfortable with Git-based version control and Agile team practices.
- Industry experience, preferably within the defense industry and/or intelligence community or related sectors, a plus.
- Capability to work collaboratively in interdisciplinary teams.
- Awareness of ethical considerations and responsible AI practices.
- Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative environment.
- Experience with data messaging and streaming technologies (e.g., Kafka) (nice to have, not required).
- Understanding of IAM/security concepts in data environments (e.g., role-based access, encryption) (nice to have, not required).
- Exposure to data modeling, time-series data analysis, or graph databases (e.g., Neo4j) (nice to have, not required).
- Familiarity with Spark or other distributed processing frameworks (nice to have, not required).
Incentives
Benefits:
- Equity: All employees are eligible to participate in the company equity incentive program within their first - 12 months of employment. We are proud that 100% of our employees are equity-owning partners.
- Competitive salary and annual performance bonus opportunities.
- Unlimited PTO.
- 11 paid holidays each year.
- Incredible professional development and learning opportunities in a fast-paced high-tech environment and exciting industry.
- Weekly in-office catering in our Leawood HQ.
Position Title: Data Engineer - Mid -Level
Location: Leawood, KS (hybrid)
Clearance: Must be willing and able to obtain, Secret preferred
As a Data Engineer for our client, you will be at the forefront of building software that scales across our client's platform capabilities. Your software will be deployed across an array of operational and research & development efforts for mission-critical customer programs and projects.
Each of our customers requires unique technical solutions to enable an asymmetric advantage on the battlefield. Our client's patented software helps remove common obstacles such as manual-intensive data processing, parsing, and analysis, thereby reducing cognitive burden for the warfighter. Our end-to-end data processing, orchestration, and fusion platform supports a wide variety of military use cases, domains, operations, and echelons. Customers enjoy enterprise-grade capabilities that meet specialized needs.
Our client encourages company-wide collaboration to share context, skills, and expertise across a variety of tools, technologies, and development practices. You’ll work autonomously while driving coordinated, collaborative decisions across cross-functional teams comprised of defense and national security experts, veterans, business leaders, and experienced software engineers. Your code will advance back-end data orchestration and graph-compute capabilities to deliver elegant data and intelligence products. You will have the opportunity to harden and scale existing platform capabilities, tools, and technologies, while also working to innovate and introduce new iterative capabilities and features which benefit our company and customers.
Successful candidates thrive in a fast-paced, entrepreneurial, and mission-driven environment. We hire brilliant patriots. You’ll be encouraged to think creatively, challenge conventional thinking, and identify alternative approaches for delivering value to customers across complex problem sets. Your day-to-day will vary, adapting to the requirements of our customers and the technical needs of respective use cases. One day, you may be supporting the development of a new proof of capability concept for a new customer program; another you may be focused on optimizing system performance to help scale a production deployment; the next you may be working directly with customers to understand their requirements with deep intellectual curiosity.
- Our flat operating model puts every employee at the forefront of our customers’ missions.
- We value customer intimacy, unique perspectives, and dedication to delivering lasting impact and results. You’ll have the opportunity to work on the frontlines of major customer programs and influence lasting success for our client and your teammates.
- You’ll have the opportunity to gain experience across a wide range of projects and tasks, from designing and demonstrating early capabilities and prototypes to deploying large-scale mission systems.
- You’ll contribute directly to our clients continued position as a market leader for data infrastructure AI and compete against multi-billion-dollar incumbents and high-tech AI companies.
Responsibilities:
- Design, build, and maintain scalable data pipelines using tools like Apache NiFi, Airflow, or equivalent orchestration systems.
- Work with structured and semi-structured data using SQL and NoSQL systems (e.g., PostgreSQL, MongoDB, Elasticsearch, Neo4j).
- Develop services and integrations using Java (primary) and optionally Python for ETL workflows and data transformation.
- Integrate data from internal and external REST APIs; handle data format translation (e.g., JSON, Parquet, Avro).
- Optimize data flows for reliability and performance, and support large-scale batch and streaming data jobs.
- Implement and document ETL mappings, schemas, and transformation logic aligned with mission use cases.
- Collaborate with software, DevOps, and AI teams to support downstream data science and ML workflows.
- Use Git-based workflows and participate in CI/CD processes for data infrastructure deployments.
- Contribute to application specifications, data quality checks, and internal documentation.
What We Value:
- B.S. degree in Computer Science, Technology, Engineering, or a relevant field.
- 4–6 years of experience in data engineering, backend software engineering, or data integration roles.
- Strong experience with Java development in data pipeline or ETL contexts; Python is a plus.
- Proficiency with SQL and NoSQL databases, including query optimization and large dataset processing.
- Familiarity with data integration tools such as Apache NiFi, Airflow, or comparable platforms.
- Knowledge of RESTful API interactions, JSON parsing, and schema transformations.
- Exposure to cloud environments (especially AWS: S3, EC2, Lambda) and distributed systems.
-Comfortable with Git-based version control and Agile team practices.
- Industry experience, preferably within the defense industry and/or intelligence community or related sectors, a plus.
- Capability to work collaboratively in interdisciplinary teams.
- Awareness of ethical considerations and responsible AI practices.
- Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative environment.
- Experience with data messaging and streaming technologies (e.g., Kafka) (nice to have, not required).
- Understanding of IAM/security concepts in data environments (e.g., role-based access, encryption) (nice to have, not required).
- Exposure to data modeling, time-series data analysis, or graph databases (e.g., Neo4j) (nice to have, not required).
- Familiarity with Spark or other distributed processing frameworks (nice to have, not required).
Incentives
Benefits:
- Equity: All employees are eligible to participate in the company equity incentive program within their first - 12 months of employment. We are proud that 100% of our employees are equity-owning partners.
- Competitive salary and annual performance bonus opportunities.
- Unlimited PTO.
- 11 paid holidays each year.
- Incredible professional development and learning opportunities in a fast-paced high-tech environment and exciting industry.
- Weekly in-office catering in our Leawood HQ.
group id: ECCOCJ
