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Day Azure Databricks Jobs (NOW HIRING)

Qualysoft

... day Rahmenbedingungen Start: Marz/April 2026 Laufzeit: 3 Jahre (optional verlangerbar bis max. 5 ... API- und Schnittstellendesign, Orchestrierung mit Azure Functions und Logic Apps) Aufbau und ...

Capgemini

Azure Databrick with Anaplan

Atlanta, GA · On-site

$53 - $65.75/hr

Mandatory Skills Azure Databricks notebooks jobs workflows Delta Lake PySpark dataframes Spark SQL ... Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Tekwissen

Data Engineer Azure Databricks Snowflake

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer (Azure | Databricks | Snowflake) Location: Frisco, TX Duration: 6 Months Job Type ... Design pipelines with cost awareness from day one: Cluster sizing, workload tuning, efficient ...

United Airlines

Azure Databrick with Anaplan

Atlanta, GA · On-site

$53 - $65.75/hr

Mandatory Skills Azure Databricks notebooks jobs workflows Delta Lake PySpark dataframes Spark SQL ... Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Syntricate Technologies

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Azure Data Engineer Dallas TX (Hybrid 3 days in a week) 12+ Months Web Cam Interview Requirement ... Azure Databricks (highlighted expertise) * How many years working with: Banking, Capital Markets or ...

Apolis

Data Engineer(Azure)

Dallas, TX · On-site

$113K - $136K/yr

Dallas, TX (4 days WFO) Day 1 onsite - F2F Interview Top Mandatory Skills: 4-7 years of hands-on experience in Data Engineering Azure Databricks/Azure Data Factory (primary skillset) Azure Data Lake ...

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Day Azure Databricks information

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How much do day azure databricks jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for day azure databricks in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is the difference between Day Azure Databricks vs Data Engineer?

AspectDay Azure DatabricksData Engineer
Primary FocusDeveloping and managing data workflows using Azure Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsAzure certifications, Spark, SQL, Python, data analyticsSQL, ETL tools, cloud platforms, programming languages like Python or Java
Work EnvironmentCloud-based, collaborative data platform within Azure ecosystemVaries; cloud, on-premises, or hybrid environments

Day Azure Databricks specialists focus on leveraging the Azure platform for data processing, while Data Engineers build and maintain the data infrastructure across various environments. Both roles require strong technical skills, but their scope and tools differ, with Day Azure Databricks centered on the Databricks platform and Data Engineers on broader data pipeline development.

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What cities are hiring for Day Azure Databricks jobs? Cities with the most Day Azure Databricks job openings:
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Day Azure Databricks jobs near you
Infographic showing various Day Azure Databricks job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 70% Full Time, and 29% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Data Engineer (Azure | Databricks | Snowflake)

Data Engineer (Azure | Databricks | Snowflake)

Tekwissen

Richardson, TX • On-site

$104K - $124K/yr

Other

Posted 24 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 and Overland Park, KS
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
JOB SUMMARY:
  • 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 TekWissen

Sourced by ZipRecruiter

TekWissen is an emerging global human capital, recruitment and IT services organization. Operating since 2009, we draw upon more than a decade of staffing experience to deliver critical talent acquisition solutions and IT engagements for our clients. We’re founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Ann Arbor, MI, US

Year founded

2009

Social media

Twitter

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