Data Engineer - Databricks and Banking Solutions (Fully Remote)

Tieto Tech Consulting; United States; Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Diversity & Inclusion

Global team

Job summary

Tieto Tech Consulting is seeking a Data Engineer in the United States to design and implement scalable data platforms and analytics solutions.

You will collaborate with data architects, BI developers, and stakeholders in an Agile setting, building ETL/ELT pipelines using Databricks, Spark, and SQL while optimizing performance on Azure data services.

We value curiosity, collaboration, and the ability to translate complex data into actionable insights across financial services and other industries.

Qualifications

• 2+ years of professional experience in Data Engineering or a similar role, with strong SQL and Python/PySpark skills.
• Hands-on experience with Databricks and Apache Spark, plus experience developing ETL/ELT pipelines and data integration solutions.
• Experience with Azure or another major cloud data platform, data lakes, data warehouses, and data modeling.

Responsibilities

• Develop and maintain scalable ETL/ELT pipelines using Databricks, Spark/PySpark, and SQL.
• Build lakehouse and data platform solutions for Banking and Financial Services, including data quality, reconciliation, lineage, and monitoring.
• Optimize Spark workloads, Delta tables, and pipeline performance while supporting modernization from legacy ETL/data warehouse solutions.

Skills

SQL

Python

PySpark

Tools

Databricks

Apache Spark

Azure

Job description

• We are looking for a Data Engineer with experience in Databricks and Azure to join our growing data engineering community.
• In this role, you will help design and implement modern data platforms, scalable data pipelines, and analytics solutions.
• You will work closely with data architects, BI developers, and customer stakeholders in an Agile environment.

Key responsibilities:

• Develop and maintain scalable ETL/ELT pipelines using Databricks, Spark/PySpark, and SQL.
• Build lakehouse and data platform solutions for Banking and Financial Services, including data quality, reconciliation, lineage, and monitoring.
• Optimize Spark workloads, Delta tables, and pipeline performance while supporting modernization from legacy ETL/data warehouse solutions.

Required experience:

• 2+ years of professional experience in Data Engineering or a similar role, with strong SQL and Python/PySpark skills.
• Hands-on experience with Databricks and Apache Spark, plus experience developing ETL/ELT pipelines and data integration solutions.
• Experience with Azure or another major cloud data platform, data lakes, data warehouses, and data modeling.

What we offer:

• We believe in the power of diversity, equity, and inclusion, and encourage applicants of all backgrounds, genders, and walks of life to join our team.
• Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.

Tieto Tech Consulting

Tieto Tech Consulting provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide. We are backed by 8,500+ IT professionals and a Bulgarian team of over 500 specialists, with a culture of openness, trust, and diversity.