Senior BI & Data Analytics Engineer — AWS, dbt, Tableau

FIS

Atlanta (GA)

Hybrid

USD 90,000 - 130,000

Full time

12 days ago
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Job summary

FIS in Atlanta, GA is seeking a data analytics engineer to design, build, and support analytics data solutions used for reporting and decision‑making. The role combines hands‑on engineering, data modeling, SQL development, and close partnership with analysts and business teams.

You will ensure data is accurate and easy to use, build pipelines with dbt, Airflow, and AWS, develop dashboards, and translate business needs into scalable data solutions for stakeholders across the organization.

Qualifications

  • Strong SQL skills and confident with complex queries.
  • Experience with dbt and Airflow in analytics workflows.
  • Familiarity with AWS services (S3, EC2, Redshift).
  • Understanding of data modeling, warehousing, and data quality practices.
  • Ability to work with both technical and non-technical teams.
  • Clear communication and problem-solving mindset.

Responsibilities

  • Build and maintain data pipelines using dbt, Airflow, and AWS services.
  • Create scalable data models that support analytics and reporting needs.
  • Write, test, and tune SQL for transformation, reporting, and analysis.
  • Partner with analysts and stakeholders to translate business needs into data solutions.
  • Develop and maintain dashboards and visualizations in Cognos or Tableau.
  • Monitor data quality, troubleshoot issues, and resolve production problems.

Skills

SQL
dbt
Airflow
AWS
Data modeling
Data warehouses
Data quality
Communication

Tools

Jira
GitHub

Job description

FIS in Atlanta, GA is seeking a data analytics engineer to design, build, and support analytics data solutions used for reporting and decision‑making. The role combines hands‑on engineering, data modeling, SQL development, and close partnership with analysts and business teams.

You will ensure data is accurate and easy to use, build pipelines with dbt, Airflow, and AWS, develop dashboards, and translate business needs into scalable data solutions for stakeholders across the organization.

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