Data Engineer: Cloud ETL & Analytics for Public Health

Metas Solutions

Atlanta (GA)

On-site

USD 110,000 - 150,000

Full time

2 days ago
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Benefits offered by this job

Medical, Dental, Vision Insurance
Paid Time Off (PTO)
401K with company match
Growth and promotion opportunities

Job summary

Metas Solutions is seeking a Data Engineer to build, optimize, and maintain cloud-based data pipelines, stores, and analytics-ready data. You will design scalable ETL/ELT workflows, structure data architectures, and ensure reliable ingestion from diverse sources.

Collaboration with analysts, product teams, and developers will drive end-to-end data solutions for reporting, modeling, and visualization. Your role focuses on transforming raw data into analytics-ready formats, performing backend

Qualifications

  • Bachelor's degree is required.
  • Experience with data warehousing in cloud environments.
  • Security clearance eligibility (Public Trust) may be required.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines from multiple cloud sources.
  • Build data storage solutions (warehouses/lakes) for large-scale analytics and BI.
  • Perform backend SQL and NoSQL testing and data validation.
  • Collaborate with analysts, engineers, and stakeholders to translate data requirements into models and workflows.
  • Develop automation to convert diverse data types into usable formats and ensure data quality.

Education

Bachelor's degree

Tools

SQL
Python
Cloudera
Hadoop
Spark
Databricks
Hive
AWS EMR
Kafka
MongoDB
Cassandra
PostgreSQL
Snowflake
Unix/Linux

Job description

Metas Solutions is seeking a Data Engineer to build, optimize, and maintain cloud-based data pipelines, stores, and analytics-ready data. You will design scalable ETL/ELT workflows, structure data architectures, and ensure reliable ingestion from diverse sources.

Collaboration with analysts, product teams, and developers will drive end-to-end data solutions for reporting, modeling, and visualization. Your role focuses on transforming raw data into analytics-ready formats, performing backend

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