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Databricks Data Engineer Jobs in Allen, TX (NOW HIRING)

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to implement ... engineering discipline, or equivalent · 9-12 years of experience managing SQL Queries, Data Lake ...

Data Engineer

Plano, TX

$110K - $132K/yr

Data Engineer Key Skills: Power BI, Azure Data Bricks, Python Plano, TX- In person only Job Summary ... Build and optimize data transformation logic using Spark (Databricks), SQL, and Python * Develop ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Power Apps, and Azure Functions e. CI/CD: GitHub, Azure DevOps, Terraform f. BI Analytics Tool Stack - Cognos, Power BI Preferred ...

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA ... Utilize Databricks with Spark and Python/Scala for data transformation and analytics * Manage ...

Azure Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Databricks Certification Minimum Requirements: Bachelor's degree in Computer Science, Engineering ... or data engineering solutions. 5+ years of data analytics experience using SQL and working with ...

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

Azure Databricks Architecture & Design : * Design, build, and optimize scalable, high-performance ... Data Engineering & Integration : * Design and implement ETL/ELT processes to ingest, process, and ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI. * 5-7 years data analytics experience using SQL * 5-7 years of cloud development and ...

Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

MegazoneCloud US is seeking a Data Engineer to support their data-driven culture. The role involves ... Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and ...

Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

MegazoneCloud Global is seeking a Data Engineer to support their data-driven culture. The role ... Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks ...

Data Engineer - Senior Manager

Dallas, TX · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

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Databricks Data Engineer information

See Allen, TX salary details

$41.4K

$120.7K

$165.1K

How much do databricks data engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for databricks data engineer in Allen, TX is $120,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $127,900.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Allen, TX? The most popular types of Databricks Data Engineer jobs in Allen, TX are:
What are popular job titles related to Databricks Data Engineer jobs in Allen, TX? For Databricks Data Engineer jobs in Allen, TX, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Allen, TX look for? The top searched job categories for Databricks Data Engineer jobs in Allen, TX are:
What cities near Allen, TX are hiring for Databricks Data Engineer jobs? Cities near Allen, TX with the most Databricks Data Engineer job openings:
Data Engineer (Azure | Databricks | Snowflake)

Data Engineer (Azure | Databricks | Snowflake)

Merican

Frisco, TX • On-site

$107K - $128K/yr

Contractor

Posted 9 days ago


Job description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Data Engineer (Azure | Databricks | Snowflake)
Location: Frisco, TX
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
Job Description
  • Needed for Azure-native third party data enrichment platform using Databricks/Spark + Snowflake; focus on reliable governed pipelines, strong Spark troubleshooting, privacy/governance, and cost-aware engineering; h
  • Team / Business Context: You will join a data engineering team responsible for third party data enrichment augmenting first party datasets with external identity/attribute data to support analytics, activation, and research.
  • The enriched datasets are consumed by multiple downstream systems and teams, including the Customer Data Platform (CDP) and other analytics/research stakeholders.
  • The platform is Azure-native and built primarily on Databricks (processing + some ML workloads) and Snowflake (analytics/warehouse).
  • A major focus is building reliable, governed, vendor agnostic datasets while ensuring privacy/compliance, data governance, and cost efficiency.

Key Responsibilities
  • As a Data Engineer, you will: Data Ingestion & Pipeline Development Build and enhance ingestion pipelines for large batch and event-driven paths (streaming may evolve over time).
  • Integrate data from: Third party enrichment vendors (identity + attributes, very large volumes) Digital platforms via Conversion API (CAPI) integrations (through intermediary/middleware) Rewards/Promotions systems (e.g., TMT) for offer issuance/redemption/consumption data Data Quality, Reliability & Operations Implement strong data validation, idempotency, replay/backfill strategies, and deduplication to prevent quality drift.
  • Own monitoring, alerting, dashboarding, and operational readiness ( wrappers around core pipelines).
  • Troubleshoot failures with root cause analysis not just reruns: Interpret Spark logs Diagnose performance issues (shuffle, skew, partitioning) Improve stability and SLA adherence Governance & Compliance (First-class NFR) Apply privacy, compliance, and governance requirements across pipelines and datasets.
  • Support governance standards such as: Unity Catalog, lineage, access controls Managing PII vs non PII access Documentation of tables, schemas, catalogs, and cluster usage Cost Governance & Performance Optimization
  • Design pipelines with cost awareness from day one: Cluster sizing, workload tuning, efficient compute/storage usage
  • Trade-off decisions balancing cost vs quality vs SLA Collaboration & Ownership Work in a small, fast-moving team; be self-driven and ownership-oriented.
  • Raise and manage data quality escalations when issues are detected.
  • Contribute to evolving architecture (product is early-stage; first live month was recent).

Must-Have Skills (Screening Keywords)
  • Candidate with hands-on, recent experience in: Strong coding: PySpark + SQL (hands-on, not only orchestration)
  • Databricks: notebooks/jobs, performance tuning fundamentals, medallion patterns Spark fundamentals: partitioning, skew/shuffle optimization, understanding failures via logs
  • Snowflake: data modeling/usage for analytics/warehousing workloads
  • Azure ecosystem: Azure Data Factory (ADF) (orchestration) Azure-native integrations and services exposure
  • Data engineering reliability patterns: validation, idempotency, replay/backfills, dedup, auditability
  • Data governance: Unity Catalog (preferred), lineage, access control patterns, PII handling Ownership mindset: can execute independently without constant approvals/check-ins

Nice-to-Have Skills
  • Event-driven/streaming ingestion exposure (even if primary is batch today) Delta/Databricks patterns such as Delta Live Tables (DLT) (some workflows exist) Experience building config-driven export frameworks for multiple downstream consumers/vendors Exposure/interest in identity resolution concepts (ML optional; ETL strength is priority) Familiarity with CAPI integrations / marketing tech data signals Experience implementing operational telemetry: dashboards, alerts, SLA monitoring What Good Looks Like (Success Criteria) Ships reliable, well-governed datasets with strong data quality practices Can scale pipelines for very large volumes (hundreds of millions of records per vendor) Prevents silent failures where quality degrades without obvious job failures Balances delivery speed with compliance, governance, and cost controls

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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