Job Title: Data Engineer with Python + AWS + Spark
Location : Plano, TX (Local Only)
Experience – 9+ Years
AWS – 40%
Python – 30%
Spark – 30%
Position summary
A Data Engineer at CMS is a software engineer with proficiency in data. The data engineer will
build and maintain the CMS data warehouse which is used for both reporting and analytics
across the company. The individual works cross functionally with technical and business teams
to identify opportunities to better leverage data. The data comes from a variety of sources and it
is the responsibility of the data engineer to make sense of the data using cloud based systems
(AWS) and provide a reliable and structured format to meet the different business needs at
CMS.
Duties and responsibilities
● Collaborate with the team to build out features for the data platform and consolidate data
assets
● Build, maintain and optimize data pipelines built using Spark
● Advise, consult, and coach other data professionals on standards and practices
● Work with the team to define company data assets
● Migrate CMS’ data platform into Chase’s environment
● Partner with business analysts and solutions architects to develop technical
architectures for strategic enterprise projects and initiatives
● Build libraries to standardize how we process data
● Loves to teach and learn, and knows that continuous learning is the cornerstone of every
successful engineer
● Has a solid understanding of AWS tools such as EMR or Glue, their pros and cons and
is able to intelligently convey such knowledge
● Implement automation on applicable processes
The ideal candidate
● 5+ years of experience in a data engineering position
● Proficiency is Python (or similar) and SQL
● Strong experience building data pipelines with Spark
● Strong verbal & written communication
● Strong analytical and problem solving skills
● Experience with relational datastores, NoSQL datastores and cloud object stores
● Experience building data processing infrastructure in AWS
● Bonus: Experience with infrastructure as code solutions, preferably Terraform
● Bonus: Cloud certification
● Bonus: Production experience with ACID compliant formats such as Hudi, Iceberg or
Delta Lake
● Bonus: Familiar with data observability solutions, data governance frameworks
Requirements
Bachelor’s Degree in Computer Science/Programming or similar is preferred
Right to work
Best Regards
Sapna Verma
E-Mail: sapna.verma@diverselynx.com
Diverse Lynx LLC, 300 Alexander Park, Suite 200.
Princeton, NJ 08520.
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