Senior Data Solutions Engineer - Pipelines, Analytics & APIs

Luxoft; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Luxoft Germany is seeking a versatile Data Solutions Engineer to support the full data lifecycle—from ingestion and engineering to analytics, visualization, and API enablement. You will work closely with business stakeholders to translate needs into scalable data solutions and reporting capabilities.

The role involves designing ETL/ELT pipelines, data modeling, and building dashboards with BI tools while collaborating across data engineering, analytics, and visualization initiatives.

Qualifications

• Proficient in Python and SQL for data engineering tasks.
• Hands-on experience with Databricks or Spark/PySpark.
• Strong Azure data stack knowledge (Databricks, ADLS, Synapse).
• Experience building ETL/ELT pipelines and data models.
• API development experience (FastAPI preferred).
• Ability to create dashboards with Power BI/Tableau/Looker.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop and optimize ETL/ELT processes.
• Create data ingestion, transformation, and aggregation workflows.
• Ensure data quality, reliability, and performance.
• Develop cloud-based data platform solutions.
• Build notebooks/workflows for data processing.
• Work with data lakes and lakehouse architectures.
• Support CI/CD and deployment for data solutions.
• Collaborate with business users to clarify requirements.
• Translate business needs into analytical/technical solutions.
• Develop KPI calculations, reporting logic, and data exploration.
• Build dashboards and reports for self-service analytics.
• Develop and maintain APIs to expose data products.

Skills

Python

SQL

Databricks

PySpark

Azure

ETL/ELT

Data Modeling

API development

FastAPI

Power BI

Tableau

Looker

Flask/REST API

CI/CD

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake Storage

Azure Synapse Analytics

Microsoft Fabric

Snowflake

FastAPI

Git

CI/CD pipelines

Job description

Luxoft Germany is seeking a versatile Data Solutions Engineer to support the full data lifecycle—from ingestion and engineering to analytics, visualization, and API enablement. You will work closely with business stakeholders to translate needs into scalable data solutions and reporting capabilities.

The role involves designing ETL/ELT pipelines, data modeling, and building dashboards with BI tools while collaborating across data engineering, analytics, and visualization initiatives.