Data Engineer

Metas Solutions; United States; On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Life Insurance

401K with company match

Paid Time Off

Job summary

Metas Solutions seeks a Data Engineer to design, build, and optimize cloud-based data pipelines and data stores enabling analytics across large datasets. You will transform raw data into analysis-ready formats, implement end-to-end ETL/ELT workflows, and ensure data quality throughout the pipeline lifecycle, collaborating with analysts, product teams, and developers.

The role requires 3+ years in data warehouse development and strong Python/SQL skills, cloud experience, and the ability to obtain

Qualifications

• 3+ years of experience in Data Warehouse development.
• 3+ years of experience with data analysis of aggregated data from multiple sources in cloud-based environments.
• 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis.
• Experience with SQL and Python for retrieving, parsing, and processing structured and unstructured data.
• Experience developing scalable ETL or ELT workflows for reporting and analytics using cloud-based technologies.
• Experience with using Cloudera or Hadoop technologies to ingest, transform, and process data.
• Experience leveraging generative AI coding tools to assist in development.
• Ability to perform backend SQL and NoSQL database testing, including post-deployment and data validation testing.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
• Bachelor's degree
• Must be a U.S. Citizen or Lawful Permanent Resident (Green Card Holder)

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver structured and unstructured data from multiple cloud-based sources.
• Build and optimize data storage solutions (data warehouses, data lakes, or lake houses) that support large-scale analytics, reporting, and business intelligence needs.
• Perform backend SQL and NoSQL testing, including data validation, post-deployment checks, and troubleshooting of ingestion or schema issues.
• Collaborate cross-functionally with analysts, engineers, and stakeholders to translate requirements into technical data models, workflows, and pipeline specifications.
• Develop scripts and automation to convert diverse data types into usable formats, while scaling, monitoring, and operating cloud-based data platforms.

Skills

Data Warehouse

Python

SQL

ETL/ELT pipelines

Cloud experience

AWS Glue/Athena

NoSQL testing

Generative AI tools

US Citizenship / LPR

Education

Bachelor's degree

Tools

Postgres

Spark/Databricks

Hive

Kafka

Snowflake

Unix/Linux

Shell scripting

Job description

About Us:

Metas Solutions excels in providing strategic consulting, program management, and data‑driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable outcomes, helping agencies achieve their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful changes through cutting‑edge programs that strengthen communities and promote well‑being. See www.metassolutions.com for further details about us and careers with Metas.

Job Description:

Metas Solutions has an "immediate opening" for a talented Data Engineer to provide specialized Data Engineering support to build, optimize, and maintain cloud‑based data pipelines, platforms, and data stores that enable analytics across large, diverse datasets. This role includes designing scalable ETL/ELT workflows, structuring data storage architectures, and ensuring reliable data ingestion from multiple structured and unstructured sources. You'll support mission‑driven analytics efforts by transforming raw data into analysis‑ready formats, performing backend SQL/NoSQL testing, and validating data quality throughout the pipeline lifecycle. In this position, you will collaborate with analysts, product teams, and developers to understand evolving data requirements, define technical specifications, and implement end‑to‑end solutions supporting reporting, modeling, and visualization needs.

Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver structured and unstructured data from multiple cloud‑based sources.
• Build and optimize data storage solutions (data warehouses, data lakes, or lake houses) that support large‑scale analytics, reporting, and business intelligence needs.
• Perform backend SQL and NoSQL testing, including data validation, post‑deployment checks, and troubleshooting of ingestion or schema issues.
• Collaborate cross‑functionally with analysts, engineers, and stakeholders to translate requirements into technical data models, workflows, and pipeline specifications.
• Develop scripts and automation to convert diverse data types into usable formats, while scaling, monitoring, and operating cloud‑based data platforms.

Qualifications:

• 3+ years of experience in Data Warehouse development
• 3+ years of experience with data analysis of aggregated data from multiple sources in cloud‑based environments
• 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
• Experience with SQL and Python for retrieving, parsing, and processing structured and unstructured data
• Experience developing scalable ETL or ELT workflows for reporting and analyticsusing cloud‑based technologies
• Experience with using Cloudera or Hadoop technologies to ingest, transform, and process data
• Experience leveraging generative AI coding tools to assist in development
• Ability to perform backend SQL and NoSQL database testing, including post‑deployment and data validation testing
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree
• Must be a U.S. Citizen or Lawful Permanent Resident (Green Card Holder)

Additional Qualifications:

• Experience creating solutions within a collaborative and cross‑functional team environment
• Experience with AWS Glue, AWS Athena, and Postgres
• Experience with distributed data and computing tools such as Spark, Databricks, Hive, AWS EMR, or Kafka
• Experience working on real‑time data and streaming applications
• Experience with NoSQL implementation using MongoDB or Cassandra
• Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake
• Experience with UNIX and Linux, including basic commands and Shell scripting
• Experience with Agile engineering practices

Security Requirements:

• Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period
• Market competitive salary, commensurate with experience and education
• Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities

Notice on Candidate AI Usage:

Metas Solutions is committed to maintaining a fair and competitive interview process for all candidates, based on their experience, skills, and education. To preserve the integrity and fairness of our interview process, candidates are expected to respond to all interview questions based on their own knowledge, skills, and experience. The use of artificial intelligence (AI) tools or other third‑party resources to generate, assist with, or provide interview responses during phone, virtual, or in‑person interviews is not permitted. Any use of AI‑assisted responses during the interview process may result in disqualification from further consideration for employment.

We are an Equal Opportunity Employer/Veterans/Disabled:

We are an Equal Opportunity Employer/Veterans/Disabled