Advanced Python programming skills, including experience with Pandas & NumPy
Proficiency in container technologies like Docker and Podman
Experience with AWS services such as S3, Lambda, and Step Functions
Familiarity with SQL (especially Trino) and NoSQL databases like DynamoDB
Working knowledge of data governance principles and data cataloging
Understanding of geospatial data handling and processing
Responsibilities
Collaborate with stakeholders to gather data needs and create viable solutions independently
Utilize strong debugging skills to resolve data quality issues and pipeline performance problems
Participate in large-scale data migration and platform modernization projects
Document data engineering best practices and contribute to design patterns
Benefits
Employer-paid health care plan (medical, dental & vision)
401k/IRA retirement plan with generous matching
Life insurance options including basic, voluntary, and AD&D
Paid time off for vacation, sick days, and public holidays
Short-term and long-term disability coverage
Opportunities for training and professional development
Access to an employee assistance program
Full Job Description
The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale. Candidate must have experience:
Building end-to-end data pipelines leveraging Python
Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs
Containerizing and deploying applications in cloud environments like AWS.
Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads.
Leveraging industry standard tools for code control (Git, IaaC control, etc.)
Working with data catalogs, tracking data lineage and handling a variety of data formats, including Geospatial.
Using Bash scripting for automation and data processing tasks
Integrating Al/ML services and models
Responsibilities:
Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight
Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks
Leverage a background in large-scale data migration or platform modernization efforts
Contribute to data engineering documentation, best practices, and design patterns.
Requirements
Minimum of 5 years' experience with:
Apache Spark & PySpark
Advanced Python skills (including Pandas & NumPy)
Docker, Podman
AWS S3, Lambda & Step functions
Apache Iceberg, Airflow, etc.
SQL (with Trino)
NoSQL, DynamoDB
Unity Catalog OSS, Apache Polaris
Apache Superset
Terraform or CloudFormation
OpenLineage
H3, PostGIS
Benefits
Eligibility requirements apply.
Employer-Paid Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA) with a generous matching program
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Short Term & Long Term Disability
Training & Development
Employee Assistance Program
About Concept Technology
Concept Technology is an IT services company that provides managed IT services, cloud solutions, cybersecurity, and consulting services to small and medium-sized businesses. The company was founded in 2003 and is headquartered in Nashville, Tennessee. Concept Technology has a team of experienced IT professionals who work with clients to provide customized solutions that meet their unique needs. The company has a strong focus on customer service and has been recognized for its outstanding service by several industry organizations. Concept Technology is committed to staying up-to-date with the latest technology trends and providing its clients with the most advanced solutions available.
