Remote Data Engineer

Kentro•UNAVAILABLE, UNAVAILABLE

11h•Remote

About The Position

Kentro is seeking a remote Data Engineer to support the implementation, enhancement, and ongoing administration of a modern data platform supporting Management Information (MI) and Business Intelligence (BI) initiatives for a federal customer. The successful candidate will have hands-on experience developing and maintaining data solutions while supporting enterprise data management, governance, and Master Data Management (MDM) initiatives. This individual will work closely with technical teams and business stakeholders to build scalable data pipelines, improve data quality, and support reporting and analytics across multiple business systems. This is an excellent opportunity for a mid-level data engineer who enjoys working with modern cloud technologies and enterprise data platforms in a collaborative federal consulting environment.

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
Minimum of 5 years of experience designing, developing, and supporting enterprise data solutions utilizing cloud based data solutions (i.e. Databricks, Snowflake, AWS, etc.)
Minimum of 5 years of experience with SQL and Python/PySpark.
Experience developing ETL/ELT pipelines and working with Delta Lake and Lakehouse architecture.
Experience working within AWS cloud environments.
Experience supporting enterprise data governance and data quality initiatives.
Experience working in Agile development environments.
US Citizen
Willing and able to obtain and maintain Public Trust Clearance

Nice To Haves

Experience with AWS Databricks
Experience with AWS services (S3, IAM, Lambda, Glue, EMR, Redshift, Athena, CloudFormation, CloudWatch)
Experience with Apache Spark
Experience with Delta Lake
Experience with Unity Catalog
Experience with Master Data Management (MDM)
Experience with Informatica MDM
Experience with Reltio
Experience with Profisee
Experience with Snowflake
Experience with Data Governance
Experience with Data Catalog
Experience with Metadata Management
Experience with Data Lineage
Experience with Power BI or Tableau
Experience with Jira / Agile methodologies
Federal consulting experience is highly preferred.
Experience supporting Public Trust programs is preferred.

Responsibilities

Develop, maintain, and optimize notebooks, workflows, and ETL/ELT pipelines.
Build and maintain data ingestion pipelines using PySpark, SQL, and Delta Lake.
Support Lakehouse implementations.
Assist with performance tuning, cluster optimization, and operational support.
Support data governance, and security best practices.
Support enterprise Master Data Management initiatives.
Assist with data quality, matching, standardization, and data stewardship activities.
Work with enterprise data governance teams to improve metadata, lineage, and business glossary initiatives.
Help ensure consistency and integrity of enterprise data across multiple systems.
Partner with business users to understand reporting requirements.
Support MI/BI reporting initiatives.
Develop datasets supporting dashboards and analytics.
Troubleshoot data quality and reporting issues.
Participate in Agile ceremonies.
Work with cross-functional technical teams.
Document technical solutions and data flows.
Participate in code reviews and knowledge sharing.

Benefits

paid time off
healthcare benefits
supplemental benefits
401k including an employer match
discount perks
rewards
education reimbursement for certifications, degrees, or professional development
flexibility for you to take a course, complete a certification, or other professional growth and networking
funds for activities – virtual and in-person – e.g., we host happy hours, holiday events, fitness & wellness events, and annual celebrations
host and attend charity galas/events