Quick Overview
Job Description
Overview Thank you for considering IT Concepts dba Kentro, where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions, fostering professional growth, and making a positive impact on our communities. By joining our supportive community, you will find that Kentro is dedicated to your personal and professional development. Together, we can drive meaningful change, spark innovation, and achieve extraordinary milestones.
Kentro is seeking a 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.
Location: Woodlawn, MD (Hybrid) Compensation Range:The anticipated base salary range for this position is $145,000–$155,000 annually and reflects Kentro’s good-faith expectations at the time of posting. Final compensation is determined based on the role’s requirements, relevant skills, experience, education, certifications, work location, applicable security clearance requirements, market conditions, internal equity, and contract requirements. This Job Description reflects the primary duties of the role; however, it is not intended to be all‑inclusive. Team members may be asked to take on additional responsibilities in alignment with customer expectations, business needs, and Kentro’s culture of collaboration and adaptability. Responsibilities Data Engineering
- 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. 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.
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.
Clearance Requirement
- US Citizen
- Willing and able to obtain and maintain Public Trust Clearance
- Must meet updated ID requirements: https://www.gsa.gov/technology/it-contract-vehicles-and-purchasing-programs/federal-credentialing-services/get-appointment-help/bring-required-documents
- If you do not currently meet the ID requirements outlined, you must be willing and able to update your current forms of ID in a timely manner to complete the suitability process successfully.
- We are not able to provide sponsorships to H1B or F1 visas.
Accommodations To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. If you need to discuss reasonable accommodations, please email . #LI-SB1
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