Data Engineer

Reposted 3 Days Ago
Hiring Remotely in USA
Remote
Mid level
Fintech • Software • Financial Services
The Role
The Data Engineer will enhance the Enterprise Data Warehouse, modernizing ETL processes, optimizing data transformations, ensuring data quality, and providing production support while collaborating with cross-functional teams.
Summary Generated by Built In
Job Summary & Responsibilities

POSITION OVERVIEW:

We are seeking a technically skilled and experienced Data Engineer to provide support and enhancement of our Enterprise Data Warehouse. The role focuses on modernizing ETL processes within an on-premises Cloudera Data Platform (CDP) environment, leveraging technologies like Apache Spark, Apache Iceberg, and Apache Airflow for scalable, efficient, and reliable data transformation and management. The ideal candidate will have strong ETL development and troubleshooting skills, along with experience participating in production support environments.

 


Essential job functions:

  1. Development
    • Contribute development efforts for ETL pipelines in the Enterprise Data Warehouse (EDW)
    • Support and rebuild legacy ETL jobs (currently not using ACID transactions) with modern solutions using Apache Spark and Apache Iceberg to support ACID transactions.
    • Transform and integrate EBCDIC Mainframe data into Hive and Impala tables using Precisely Connect for Big Data.
    • Optimize data transformation processes for performance, scalability, and reliability.
    • Ensure data consistency, accuracy, and quality across the ETL pipelines.
    • Utilizes best practices for ETL code development, version control, and deployment using Azure DevOps.
  2. Production Support
    • Shares weekly 24/7 production support with managed service vendor on a 4-week rotation.
    • Monitor ETL workflows and troubleshoot issues to ensure smooth production operations.
    • Research and resolve user requests and issues
  3. Collaboration and Stakeholder Engagement
    • Collaborate with cross-functional teams, including data engineers, business analysts, administrators, and quality analyst engineers to ensure alignment on requirements and deliverables.
    • Engage with business stakeholders to understand data requirements and translate them into scalable technical solutions.
  4. Technical Governance
    • Contribute to process documentation, and follow best practices within the Enterprise Data Warehouse
    • Follow proper SDLC protocols within Azure DevOps code repository
    • Stay updated on emerging technologies and trends to continuously improve data platform capabilities.
    • Other tasks as assigned by management

 

MINIMUM REQUIREMENTS:

  • Bachelor’s degree in IT or similar field. (Additional equivalent experience above the required minimum may be substituted for the degree requirement.)
  • 3+ years of experience in ETL development and data engineering roles
  • 3+ years of advanced SQL experience
  • 3+ years in Python and Linux for Spark-based development.
  • Proven experience in using Apache Spark or Apache Iceberg or Airflow for ETL pipelines.
  • Strong familiarity with version control systems, especially Azure DevOps.
  • Knowledge of data governance and security best practices in a distributed data environment.
  • Familiarity with data modeling, schema design, and building data models for reporting needs.
  • In-depth understanding of ETL frameworks, ACID transactions, change data capture, and distributed computing.
  • Experience in designing and managing large-scale data pipelines and workflows.
  • Excellent problem-solving and troubleshooting skills.
  • Effective communication and collaboration abilities to collaborate with diverse teams and stakeholders.
  • Timeline centric mindset
  • Enterprise application awareness and technical alignment standards
  • This position requires (6C) personnel security screening in accordance with the U.S. Department of Education’s (ED) policy regarding the personnel security screening requirements for all contractor and subcontractor employees. A qualified applicant must successfully submit for personnel security screening within 14 calendar days from employment offer. Some travel may be required for PIV support.

 

PREFERRED QUALIFICATIONS:

  • Experience with Cloudera Data Platform (CDP), including Hive and Impala
  • Knowledge of Precisely Connect for Big Data or similar tools for mainframe data transformation

Top Skills

Apache Airflow
Apache Iceberg
Spark
Azure Devops
Linux
Python
SQL
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The Company
HQ: Chesterfield, MO
832 Employees
Year Founded: 1981

What We Do

MOHELA is dedicated to providing world-class customer service for the students whose loans we manage. As your knowledgeable and approachable go-to resource for account information and repayment options, we provide the tools to help you successfully repay your student loan. MOHELA is here to assist you!

Headquartered in St. Louis, Missouri, with an operating center in Columbia, Missouri, and office in Washington, DC, our prime focus is student loan servicing. Our expert and tenured staff of over 2,000 employees:
•Are well-trained to understand Federal Policy and Regulations,
•Are skilled in offering excellent customer service, and
•Offer a personalized interaction to meet the unique needs of each student borrower we service.

As a nationally-recognized leader in student loan servicing and higher education financing, we provide informative and responsive interactions to each call and encounter to ensure each borrower has a positive experience.

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