Remote Data Engineer

Kentro is a federal consulting company focused on advancing customer missions through technology, collaboration, and innovation. The company is seeking a mid-level Data Engineer to implement, enhance, and administer a modern data platform supporting Management Information and Business Intelligence initiatives. The role develops scalable data pipelines, supports data governance and Master Data Management, improves data quality, and enables reporting and analytics across enterprise systems.

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

Preferred

Experience with one or more of the following: + AWS Databricks + AWS services (S3, IAM, Lambda, Glue, EMR, Redshift, Athena, CloudFormation, CloudWatch) + Apache Spark + Delta Lake + Unity Catalog + Master Data Management (MDM) + Informatica MDM + Reltio + Profisee + Snowflake + Data Governance + Data Catalog + Metadata Management + Data Lineage + Power BI or Tableau + Jira / Agile methodologies

Federal consulting experience is highly preferred

Experience supporting Public Trust programs is preferred

AWS Databricks

Amazon S3

AWS IAM

AWS Lambda

AWS Glue

Amazon EMR

Amazon Redshift

Amazon Athena

AWS CloudFormation

Amazon CloudWatch

Apache Spark

Unity Catalog

Master Data Management

Informatica MDM

Reltio

Profisee

Data Cataloging

Metadata Management

Data Lineage

Power BI

Tableau

Jira

Agile Methodologies

Federal Consulting

Benefits

Remote work arrangement

Paid time off

Healthcare benefits

Supplemental benefits

401k including an employer match

Discount perks

Rewards

Every employee is eligible for education reimbursement for certifications, degrees, or professional development.

Flexibility to take a course, complete a certification, or pursue other professional growth and networking

Funds for virtual and in-person activities, including happy hours, holiday events, fitness and wellness events, and annual celebrations

Charity galas and events

Company

Digital solutions for government modernization and federal health

Mclean, Virginia, USA

https://kentro.us/

501-1000 employees

Qualifications

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

We are not able to provide sponsorships to H1B or F1 visas

Experience with one or more of the following: + AWS Databricks + AWS services (S3, IAM, Lambda, Glue, EMR, Redshift, Athena, CloudFormation, CloudWatch) + Apache Spark + Delta Lake + Unity Catalog + Master Data Management (MDM) + Informatica MDM + Reltio + Profisee + Snowflake + Data Governance + Data Catalog + Metadata Management + Data Lineage + Power BI or Tableau + Jira / Agile methodologies

Federal consulting experience is highly preferred

Experience supporting Public Trust programs is preferred

Minimum of 5 years of experience with SQL and Python/PySpark.

Required skills

SQL, Python, PySpark, Databricks, AWS, ETL/ELT Pipelines, Delta Lake, Lakehouse Architecture, Data Governance, Data Quality, Agile Development, Master Data Management, Snowflake, Apache Spark, Unity Catalog, Informatica MDM, Reltio, Profisee, AWS S3, AWS IAM, AWS Lambda, AWS Glue, AWS EMR, AWS Redshift, AWS Athena, AWS CloudFormation, AWS CloudWatch, Power BI, Tableau, Jira, Public Trust Clearance

Preferred skills

Federal consulting experience is highly preferred, Experience supporting Public Trust programs is preferred

Experience

5+ years