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Azure Data Engineer Jobs in Austin, TX (NOW HIRING)

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Engineer Location: Austin,TX/ Sunnyvale, CA We are seeking an experienced Data Engineer with ... Familiarity with cloud database services (AWS RDS/Aurora PostgreSQL, Azure, GCP Cloud SQL) is a ...

Data Governance- Manager

Austin, TX · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

BI Developer

Austin, TX · Hybrid

$43.66/hr

Data Analyst Associate, Azure Data Engineer) are a plus. * Proficiency in SQL and Azure KQL, with hands-on experience using data visualization tools such as Power BI. * Familiarity with web analytics ...

... partner with engineering to drive permanent fixes * Lead QA efforts across data ingestion, transformation, and delivery layers within the Microsoft Azure and Databricks environment * Design ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Responsibilities include establishing engineering standards, leading design, implementation, and optimization of Lakehouse, Warehouse, and Azure AI Foundry data pipelines. Role involves mentoring ...

Data Engineer I

Austin, TX · On-site

$113K - $136K/yr

Data Engineer I ---- Hiring Department: Dell Medical School ---- Position Open To: All Applicants ... Configure cloud-based storage and compute environments across AWS, Azure, and Google Cloud Platform

Data Engineer I

Austin, TX · On-site

$113K - $136K/yr

... Azure, GCP). • Implements schema design, indexing, and partitioning strategies. • Ensures high availability and disaster recovery protocols. • Creates data tools for analytics and data science ...

Data Engineer I

Austin, TX · On-site

$113K - $136K/yr

Data Engineer I ---- Hiring Department: Dell Medical School ---- Position Open To: All Applicants ... Configure cloud-based storage and compute environments across AWS, Azure, and Google Cloud Platform

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to architect, build, and maintain our next-generation ... Knowledge of Azure/GCP services or similar AWS core services (S3, Lambda, IAM). * Experience ...

Data Engineer I

Austin, TX · On-site

$113K - $136K/yr

Data Engineer I ---- Hiring Department: Dell Medical School ---- Position Open To: All Applicants ... Configures cloud-based storage and compute environments (AWS, Azure, GCP). * Implements schema ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to architect, build, and maintain our next-generation ... Knowledge of Azure/GCP services or similar AWS core services (S3, Lambda, IAM). * Experience ...

Data Engineer I

Austin, TX · On-site

$113K - $136K/yr

Data Engineer I ---- Hiring Department: Dell Medical School ---- Position Open To: All Applicants ... Configures cloud-based storage and compute environments (AWS, Azure, GCP). * Implements schema ...

Showing results 41-60

Azure Data Engineer information

See Austin, TX salary details

$44.1K

$128.5K

$175.9K

How much do azure data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for azure data engineer in Austin, TX is $128,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.
What are the most commonly searched types of Azure Data Engineer jobs in Austin, TX? The most popular types of Azure Data Engineer jobs in Austin, TX are:
What job categories do people searching Azure Data Engineer jobs in Austin, TX look for? The top searched job categories for Azure Data Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Azure Data Engineer jobs? Cities near Austin, TX with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $128,545 per year, or $61.8 per hour.

$113K - $136K/yr

Full-time

Posted 10 days ago


Job description

Data Engineer
Location: Austin,TX/ Sunnyvale, CA
Job Description
We are seeking an experienced Data Engineer with proven, hands-on expertise in migrating enterprise database workloads from Oracle to PostgreSQL. The ideal candidate will lead/support end-to-end migration activities including assessment, schema conversion, data migration, application compatibility, performance tuning, and cutover planning.
Key Responsibilities
  • Assess existing Oracle databases (schema, PL/SQL objects, indexes, partitioning, triggers, jobs) to determine migration complexity and approach.
  • Perform schema and object conversion from Oracle to PostgreSQL using tools such as AWS SCT/DMS, Ora2Pg, EDB Migration Toolkit, or custom scripts.
  • Convert PL/SQL procedures, functions, triggers, and packages to PostgreSQL PL/pgSQL, resolving syntax and behavioral differences.
  • Design and execute data migration/validation strategies (full load, incremental/CDC, reconciliation) ensuring zero/minimal data loss.
  • Identify and remediate incompatibilities (data types, sequences, materialized views, partitioning strategies, error handling, connection pooling).
  • Optimize PostgreSQL performance post-migration (indexing strategy, query tuning, vacuum/autovacuum, connection pooling via PgBouncer, partitioning).
  • Collaborate with application teams to update SQL queries, ORM configurations, and connection strings/drivers (JDBC/ODBC/psycopg2).
  • Plan and execute cutover strategy including rollback plans, downtime minimization, and go-live support.
  • Document migration runbooks, technical decisions, and lessons learned.

Required Skills & Experience
  • 5+ years of overall database engineering/DBA experience; 3+ years hands-on with Oracle-to-PostgreSQL migration projects (not just theoretical knowledge).
  • Strong command of Oracle (PL/SQL, RMAN, Data Pump, performance tuning) and PostgreSQL (PL/pgSQL, extensions, vacuum internals, replication).
  • Practical experience with migration tools: Ora2Pg, AWS SCT, AWS DMS, EDB Postgres Migration Toolkit, Google DMS, or equivalent.
  • Solid understanding of differences between Oracle and PostgreSQL (sequences, ROWID vs CTID, NVL vs COALESCE, hierarchical queries CONNECT BY vs recursive CTEs, autonomous transactions, packages, etc.).
  • Experience with data validation/reconciliation frameworks to ensure migration accuracy.
  • Familiarity with cloud database services (AWS RDS/Aurora PostgreSQL, Azure, GCP Cloud SQL) is a plus.
  • Scripting skills in Shell, Python for automation of migration tasks.
  • Experience with CI/CD pipelines and version control (Git) for schema/code management.
  • Strong problem-solving skills and ability to work with minimal supervision on complex legacy systems.