Senior DataBricks

Luxoft; Dallas (TX); On-site; USD 60,000 - 125,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Disability insurance

Job summary

A leading IT services and consulting firm based in Dallas is seeking a Mid-Senior Level Data Engineer to design and implement analytics solutions. The ideal candidate will have strong experience in Azure cloud services, SQL, and data engineering tools like Databricks. Responsibilities include collaborating with application teams to support data solutions and leading development throughout the project lifecycle. This full-time role offers comprehensive benefits including medical and 401(k).

Qualifications

• 3+ years of software solution development in Agile / DevOps environments.
• 3+ years of data analytics experience using SQL.
• 2+ years of cloud development and data lake experience, preferably in Microsoft Azure.

Responsibilities

• Design and support analytics solutions with data application teams.
• Build data migration and engineering solutions using Azure services.
• Participate in the full development lifecycle including design and testing.

Skills

Senior-level experience with Azure cloud services

SQL

Python

PySpark

Strong communication skills

Education

Bachelor's degree in a technical field

Tools

Azure services

Power BI

Cognos

Job description

Base Pay Range

$60,000.00/yr - $125,000.00/yr

Responsibilities

• Work closely with source data application teams and product owners to design, implement, and support analytics solutions
• Build and support data migration and data engineering solutions using Azure services (ADLS, ADF, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks) and traditional data warehouse tools
• Participate across the full development lifecycle: design, cloud engineering, data ingestion and modeling, testing, CI/CD, performance tuning, deployments, BI, alerting, and production support
• Provide technical leadership and work collaboratively within a team, as well as independently
• Be part of a DevOps team that fully owns and supports its product

Mandatory Skills & Qualifications

• Senior‑level experience with Azure cloud services
• Senior‑level experience with Databricks and analytics tools for data movement and transformation
• 3+ years of software solution development in Agile / DevOps product‑based environments
• 3+ years of data analytics experience using SQL
• 2+ years of cloud development and data lake experience (Microsoft Azure preferred)
• Hands‑on experience with:
  • Python, PySpark, SQL, Unix
  • BI tools (Power BI, Cognos)
  • Senior‑level experience in solution design, problem identification, and technical leadership
  • Strong written and verbal communication skills
  • Ability to work CST‑aligned hours and with geographically distributed teams
  • Bachelor’s degree in a technical field or equivalent experience

Primary Focus / Key Skills

• Python / PySpark
• Data validation and data quality

Nice‑to‑Have

• 5+ years of software or data engineering experience
• Extended Azure experience (Functions, ADX, ASA, Power Apps)
• Airline industry experience

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

IT Services and IT Consulting

Benefits

• Medical insurance
• Vision insurance
• 401(k)
• Disability insurance