Is the Senior Data Engineer with Azure & Databricks role on-site?

Yes — this role is on-site at the client's Plano, TX location, five days per week. The client's culture and delivery cadence are calibrated around in-person collaboration for this position. Relocation support may be available for the right candidate; the recruiter will confirm during your calibration call.

Is this a permanent role?

Yes — this is a full time direct-hire position with the client. On offer acceptance, you onboard directly onto the client's payroll and benefits. ApTask's role is placement only; the recruiter stays in touch for the first 90 days as a check-in, but your day-to-day relationship is with the client's hiring manager.

What is the compensation range for this role?

The advertised range for this Senior Data Engineer with Azure & Databricks role is $135,000–$150,000 per year. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.

How quickly does the interview process move?

If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.

What technical skills does the Senior Data Engineer with Azure & Databricks role require?

The client is targeting depth in Data, Azure, Databricks. Adjacent experience is welcome — we routinely place candidates whose exact stack match is 60-70% when the underlying pattern (distributed systems, regulated-data handling, or comparable) is strong. Bring the full stack breadth to your calibration call; the recruiter will map it onto the client's evaluation scorecard.

Onsitefull timeReq 26-02753Posted Today

Senior Data Engineer with Azure & Databricks

Direct Placement role in Plano, TX. Onsite engagement, matched and submitted by an ApTask vertical recruiter.

Location: Plano, TX · Onsite
Compensation: $135k–$150k/yr

Talk to a recruiter

Your résumé routes to the vertical recruiter who owns this requisition. Identity-verified profile, never resold or syndicated.

Stack

Data
Azure
Databricks

About the role

Title: Senior Data Engineer with Azure & Databricks
Location: Plano, TX or Conshohocken, PA Hybrid 2-3 days
Salary: USD 135 – 150k/annum (all inclusive)

Job Summary
We are looking for an experienced Senior Data Engineer with strong expertise in Azure Data Engineering and hands-on experience building scalable data pipelines and data processing solutions.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and data engineering solutions.
Develop ETL/ELT workflows using Azure Data Factory (ADF).
Build and optimize data solutions using Azure Synapse Analytics and Databricks.
Perform data ingestion, transformation, integration, and processing across multiple data sources.
Develop efficient and scalable data models and workflows.
Monitor, troubleshoot, and optimize data pipelines and data processing jobs.
Collaborate with data architects, analysts, developers, and business stakeholders.

Required Skills

Strong hands-on experience in Data Engineering.
Strong expertise in Microsoft Azure data services.
Experience with Azure Data Factory (ADF).
Experience with Azure Synapse Analytics.
Strong experience with Databricks.
Strong SQL and data transformation skills.
Experience developing and optimizing ETL/ELT pipelines.
Good understanding of data warehousing and cloud data architecture.

Preferred Skills

Experience with PySpark / Spark and Python.
Experience with Azure Data Lake Storage (ADLS).
Knowledge of Delta Lake and Lakehouse architecture.
Experience with CI/CD and Azure DevOps.
Experience with data modelling and performance optimization.
Exposure to Power BI and analytics platforms.
Microsoft Azure Data Engineer certification is a plus.

About technology at ApTask

What this vertical looks like inside ApTask.

Technology roles at ApTask cover the software, cloud, data, security, and platform-engineering functions that power Fortune 500 digital operations. Our recruiters specialise in high-signal technical calibration — every candidate is validated against the specific stack, framework versions, and deployment context the client runs, not a keyword match. Our largest engagements sit inside AWS, Azure, GCP, Snowflake, Databricks, and modern data-mesh estates. Because we route through Fieldglass, Beeline, Workday VNDLY, and Coupa VMS, technology contractors placed through ApTask carry MBE diversity spend against the client's supplier program while remaining W-2 with full benefits under our payroll.

How it works

What happens after you apply.

1. Verified profile
Submit your résumé and complete the ApTask identity + skills verification. We check right-to-work, background, and technical calibration once — never resell or re-verify — so future roles surface faster.
2. Recruiter calibration call
Within one business day, the recruiter who owns this requisition reviews your profile against the client's specific stack, arrangement, and start-date requirements. You'll hear back either way — no ghosting.
3. Client interview
If your profile is a fit, we present you to the hiring team. Most clients run 2-3 interview stages: hiring-manager screen, technical panel, and final. We prep you with the exact scorecard criteria before each round.
4. Offer + onboarding
On acceptance, you onboard W-2 with ApTask (contract) or direct-hire with the client (per role type). Benefits, payroll, and timesheets run through us. Your recruiter stays your point of contact for the length of the engagement.

Frequently asked

Questions candidates ask about this role.

Is the Senior Data Engineer with Azure & Databricks role on-site?: Yes — this role is on-site at the client's Plano, TX location, five days per week. The client's culture and delivery cadence are calibrated around in-person collaboration for this position. Relocation support may be available for the right candidate; the recruiter will confirm during your calibration call.
Is this a permanent role?: Yes — this is a full time direct-hire position with the client. On offer acceptance, you onboard directly onto the client's payroll and benefits. ApTask's role is placement only; the recruiter stays in touch for the first 90 days as a check-in, but your day-to-day relationship is with the client's hiring manager.
What is the compensation range for this role?: The advertised range for this Senior Data Engineer with Azure & Databricks role is $135,000–$150,000 per year. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.
How quickly does the interview process move?: If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.
What technical skills does the Senior Data Engineer with Azure & Databricks role require?

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