Data Engineer

Eliassen Group; Sacramento (CA); Remote; USD 69,000 - 79,000; Full time

Job summary

Eliassen Group is seeking a Data Engineer to design and implement high-performance data pipelines at scale in a remote setting for a Financial Services client. You will focus on reliable ingestion, transformation, data quality, and lineage across AWS services.

The role requires Python and PySpark expertise, hands-on work with AWS Glue and EMR, and experience building scalable pipelines to terabyte-scale data, with real-time processing using Kinesis or Kafka.

Qualifications

• Expert-level proficiency in Python and PySpark.
• Deep hands-on experience with AWS Glue and Amazon EMR.
• Proven track record building scalable pipelines for large-scale data, preferably at terabyte scale.
• Experience implementing frameworks for data lineage and data quality.
• Strong experience with S3-based data lakes and relational databases such as RDS, PostgreSQL, or MySQL.
• Experience with real-time processing using Kinesis or Kafka.
• Familiarity with CI/CD for data pipelines and Infrastructure as Code.

Responsibilities

• Design and implement high-performance data pipelines that handle large volumes of data.
• Ensure data integrity through advanced quality checks and lineage tracking.

Skills

Python

PySpark

AWS Glue

Amazon EMR

Data pipelines

Data lineage

Data quality

S3 data lakes

RDS

PostgreSQL

MySQL

Kinesis

Kafka

CI/CD

IaC

Tools

Python

PySpark

Job description

Data Engineer

Anywhere

Type: Contract

Category: Data

Industry: Financial Services

Workplace Type: Remote

Standard Hours: Open

Rate: $50.00 to $57.00/hr. w2

Description

Remote

Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing data quality and lineage, and delivering resilient solutions across AWS services.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Responsibilities

• Design and implement high-performance data pipelines that handle large volumes of data.
• Ensure data integrity through advanced quality checks and lineage tracking.

Experience Requirements

• Expert-level proficiency in Python and PySpark.
• Deep hands-on experience with AWS Glue and Amazon EMR.
• Proven track record building scalable pipelines for large-scale data, preferably at terabyte scale.
• Experience implementing frameworks for data lineage and data quality.
• Strong experience with S3-based data lakes and relational databases such as RDS, PostgreSQL, or MySQL.
• Experience in Financial Services is a plus.
• Experience with real-time processing using Kinesis or Kafka.
• Familiarity with CI/CD for data pipelines and Infrastructure as Code.

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ([e-mail], 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact [e-mail].

About Eliassen Group

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.