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Entry Level Azure Data Engineer Jobs in Texas (NOW HIRING)

Fervo Energy Company

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models ... Experience with Azure Data Factory and Azure Data Lake Storage (ADLS), or equivalent cloud data ...

Dlapiper

Data Engineer

Dallas, TX

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

DPR Construction

PCA Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

DPR Construction

PCA Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

DPR Construction

PCA Data Engineer

Dallas, TX

$113K - $136K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

Dlapiper

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Dlapiper

Data Engineer

Houston, TX

$109K - $131K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Prabhav Services Inc

Azure Databricks

Dallas, TX · On-site

$54.75 - $67.75/hr

Data Engineering : Design and build scalable ETL pipelines using Azure Databricks. * Data Migration : Migrate data from on-premises or legacy systems into Azure cloud environments. * Big Data ...

Texas Farm Bureau Insurance

Data Engineer I

Waco, TX · On-site

$101K - $122K/yr

The Data Engineer I works closely with senior engineers, data analysts, and business stakeholders ... Support scheduled and event-driven pipeline operations using tools such as Azure Data Factory and ...

Pwc

Data Engineer - Senior Associate

Fort Worth, TX · On-site

$77K - $202K/yr

... Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Austin, TX · On-site

$77K - $202K/yr

... Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

San Antonio, TX

$77K - $202K/yr

... Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Dallas, TX · On-site

$77K - $202K/yr

... Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Houston, TX · On-site

$77K - $202K/yr

... Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Gartner

Data Engineer - Production Support

Irving, TX · Hybrid

$109K - $132K/yr

The Data Engineer will provide technical expertise in managing production data quality tasks and ... Work with the team on managing Azure resources including but not limited to Databricks, Azure Data ...

K&L Gates

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Deploy, monitor, and optimize data pipelines using CI/CD processes in Azure DevOps or GitHub Actions. * Implement robust data quality, validation, and monitoring processes. 2. Data Architecture ...

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Entry Level Azure Data Engineer information

What is an Entry Level Azure Data Engineer?

An Entry Level Azure Data Engineer is a professional who helps design, build, and maintain data solutions on Microsoft Azure's cloud platform. They work with data storage, data pipelines, and data integration tools, often supporting more senior engineers in managing big data and analytics workloads. This role involves tasks like setting up Azure data services, transforming data, and ensuring secure and efficient data flows. Entry level engineers are typically early in their careers and may hold relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate.

What are some common challenges faced by entry level Azure Data Engineers and how can they be addressed?

Entry level Azure Data Engineers often encounter challenges such as managing complex data integration tasks, understanding the nuances of Azure’s numerous data services, and ensuring data security and compliance. To address these, it's helpful to invest time in hands-on practice with Azure tools like Data Factory and Synapse Analytics, seek mentorship within your team, and regularly review Microsoft’s documentation and best practices. Collaborating closely with more experienced engineers and participating in code reviews can also accelerate learning and help you navigate real-world scenarios more effectively.

What are the key skills and qualifications needed to thrive as an Entry Level Azure Data Engineer, and why are they important?

To thrive as an Entry Level Azure Data Engineer, a solid understanding of data modeling, SQL, and basic programming (such as Python or Scala), along with a relevant degree in computer science or a related field, is important. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help newcomers excel in collaborative, data-driven environments. These competencies are critical for successfully designing, implementing, and maintaining scalable data solutions in modern cloud ecosystems.
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Entry Level Azure Data Engineer jobs near you
Data Engineer

Data Engineer

Fervo Energy Company

Houston, TX • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Job Type
Full-time
Description
Fervo is building the most cost-effective, repeatable geothermal power plants in the world. Scaling that mission depends on a trustworthy, well-governed data foundation that turns raw sensor signals, drilling and completions records, and power plant telemetry into reliable, decision-ready information. The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it - engineers, operators, data scientists, and the analytical and agentic applications built on top.
The Data Engineer owns data products end to end - from ingestion and modeling, through quality, governance, and serving, to monitoring in production. Working across Data Science, AI Engineering, IT Infrastructure, domain SMEs, and business stakeholders, this role establishes reusable patterns for real-time and batch processing, IoT/historian integration, data quality and entity linkage, and self-service analytics on our Azure, Databricks, and Snowflake stack. Success requires strong hands-on engineering depth in distributed data processing, sound data modeling and architecture judgment, and pragmatism about what to ship versus what to defer.
Requirements
Responsibilities
Data Pipeline & Platform Engineering
  • Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and Azure Data Factory, landing data in Azure Data Lake Storage (ADLS) and Snowflake
  • Implement the medallion (bronze/silver/gold) architecture using Delta Lake and Delta Live Tables, with reliable incremental processing, schema evolution, and change data capture
  • Build and tune Apache Spark jobs (PySpark/Spark SQL) for large-scale, parallel data processing - partitioning, shuffles, caching, broadcast joins, and cost/performance optimization
  • Ingest and process high-volume IoT and historian data (sensor, SCADA, time-series) via streaming frameworks (Structured Streaming, Event Hubs/Kafka) and micro-batch patterns

Data Modeling, Quality & Governance
  • Model curated, analytics-ready datasets and serving layers that are well-documented, performant, and easy for downstream consumers to use
  • Implement automated data quality frameworks - validation, profiling, anomaly detection, freshness and completeness checks - with clear alerting and remediation paths
  • Build entity resolution and record linkage logic to unify wells, pads, assets, equipment, and events across heterogeneous source systems
  • Establish and enforce data governance using Unity Catalog - access controls, lineage, data classification, and a shared semantic/metadata layer that makes business concepts queryable and trustworthy

Reliability, CI/CD & Production Operations
  • Apply software engineering discipline to data: version control, code review, automated testing, and CI/CD pipelines (Azure DevOps or GitHub Actions) for data and infrastructure
  • Implement monitoring, logging, and observability across pipelines to support debugging, SLA tracking, cost monitoring, and continuous improvement
  • Support production incidents and platform-level issues impacting data pipelines and downstream consumers; develop runbooks and reduce toil through automation

Analytics Enablement & Collaboration
  • Partner with analysts and stakeholders to deliver datasets and semantic models that power dashboards in Power BI and Spotfire
  • Collaborate with Data Science and AI Engineering to provision clean, governed, feature-ready data for ML and agentic workflows
  • Translate domain problems from drilling, completions, production, geophysics, and power plant operations into well-scoped, reliable data products with clear ownership and success metrics

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Applied Mathematics, Physics, or a related technical field - or equivalent practical experience demonstrated through a portfolio of shipped data systems. Master's preferred.
  • 2+ years of hands-on experience building and operating production data pipelines, not just prototypes or notebooks
  • Deep understanding of the Apache Spark framework and distributed, parallel data processing - partitioning, shuffles, joins, caching, and performance tuning at scale
  • Strong programming skills in Python (PySpark) and SQL, including writing testable, maintainable production code
  • Hands-on experience with Databricks, including Delta Lake, Delta Live Tables, and Unity Catalog
  • Experience with Azure Data Factory and Azure Data Lake Storage (ADLS), or equivalent cloud data services with willingness to work in our Azure-first environment
  • Experience with cloud data warehousing on Snowflake (or equivalent: BigQuery, Redshift, Databricks SQL)
  • Experience building both real-time/streaming and batch pipelines (Structured Streaming, Event Hubs/Kafka, or similar)
  • Solid data modeling skills (dimensional, medallion/lakehouse, or normalized) and a track record of building well-documented, consumable datasets
  • Experience implementing data quality, validation, and observability for pipelines
  • Strong Git and CI/CD experience (Azure DevOps or GitHub Actions), including version control discipline, code review, and automated testing
  • Experience delivering data to BI/analytics tools such as Power BI and/or Spotfire

Preferred Qualifications
  • Experience with data governance and cataloging - Unity Catalog, Microsoft Purview, lineage tooling, and semantic/metric layers (Snowflake Semantic Views, Databricks Metric Views, dbt Semantic Layer)
  • Experience with entity resolution / record linkage and master data management across messy, multi-source data
  • Background in time-series data, signal processing, or industrial IoT (MQTT, OPC UA, SparkplugB) and historian systems (Canary, Ignition)
  • Experience with infrastructure-as-code (Terraform preferred) and containerization (Docker)
  • Experience with orchestration tooling (Databricks Workflows, Airflow, ADF pipelines) and dbt for transformation
  • Familiarity with data security and access control patterns - Entra ID, row/column-level security, masking, Key Vault-managed secrets
  • Oil and gas or energy industry experience, including familiarity with drilling, completions, production, geophysics, or industrial historian data
  • Exposure to ML/AI data needs - feature engineering, feature stores, or provisioning data for agentic/LLM applications
  • Experience optimizing cloud data cost and performance at scale

Location
Fervo Energy is headquartered in Houston, TX, with growing offices in Golden, CO, Reno, NV, and Oakland, CA, and Salt Lake City, UT. This position will be eligible for some hybrid work flexibility, but regular in-office presence at the Oakland or Houston office will be required
Compensation & Benefits
Fervo provides a comprehensive suite of benefits including medical, dental, vision, life, short-term and long-term disability, flexible paid time off, and paid parental leave. Additionally, Fervo offers an incentive stock options program, a bonus incentive program, and a 401(k) plan with an employer match.
Fervo Energy is providing the compensation range and general description of other compensation and benefits that the company in good faith believes it might pay and/or offer for this position based on the successful applicant's education, experience, knowledge, skills, and abilities in addition to internal equity and geographic location. Expected Salary: $x - $x based on location and experience.
Fervo Energy reserves the right to ultimately pay more or less than the posted range and offer other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.
Fervo Energy is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, gender, religion, marital status, registered domestic partner status, age, national origin, ancestry, physical or mental disability, medical condition, sex, genetic information, sexual orientation, military and veteran status or any other consideration made unlawful by federal, state, or local laws. It also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. ffice will be required.

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