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Entry Level Streaming Data Engineer Jobs in Houston, TX

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and ... Apply software engineering discipline to data: version control, code review, automated testing, and ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and ... Apply software engineering discipline to data: version control, code review, automated testing, and ...

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

MINIMUM EXPERIENCE: Two (2) years of experience as Data Engineer, Database Engineer, Oracle ... of streaming technologies. Position will be filled at level commensurate with experience EOG ...

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Two (2) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer ... of streaming technologies. Position will be filled at level commensurate with experience EOG ...

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

MINIMUM EXPERIENCE: Two (2) years of experience as Data Engineer, Database Engineer, Oracle ... of streaming technologies. Position will be filled at level commensurate with experience EOG ...

Junior Data Engineer

Houston, TX · On-site

$110K - $125K/yr

This is more than an entry-level Data Engineering position-it's an opportunity to build a long-term career with a company investing heavily in its technology future. You'll gain hands-on experience ...

Data Engineer

Houston, TX

$109K - $131K/yr

Main purpose The Data Engineer will be responsible for building and maintaining the data ... Familiarity with streaming or event-driven data integration patterns. * Prior exposure to Gas and ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Main purpose The Data Engineer will be responsible for building and maintaining the data ... Familiarity with streaming or event-driven data integration patterns. * Prior exposure to Gas and ...

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Drone Data Engineer Job Location: Houston, Tx Job Type: Contract * Drone Data Execution Engineer ... Knowledge of object storage streaming and data pipelines * Understanding of edgetocloud ...

Google Data Specialist

Houston, TX · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or ... Implement data ingestion patterns for batch and streaming data sources. * Support development of ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Houston, TX Client: Fujitsu Managing Technical Consultant The Azure Data Lake Engineer is ... Stream Analytics and Azure SQL DB · Knowledge of Lambda and Kappa architecture patterns and ...

AECOM is seeking an Entry Level Transit Engineer to be based in our Houston, TX office. This ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

... and data center properties. With millions of square feet of assignments, Stream is one of the ... POSITION OVERVIEW The Building Engineer is consistently thorough and committed to keeping building ...

... and data center properties. With millions of square feet of assignments, Stream is one of the ... POSITION OVERVIEW The Building Engineer is consistently thorough and committed to keeping building ...

... and data center properties. With millions of square feet of assignments, Stream is one of the ... POSITION OVERVIEW The Building Engineer is consistently thorough and committed to keeping building ...

Working across Data Engineering, IT Infrastructure, domain SMEs, and business stakeholders, this ... streaming, and prompt engineering * Experience implementing RAG architectures with vector databases ...

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Showing results 1-20

Entry Level Streaming Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do entry level streaming data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for entry level streaming data engineer in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Streaming Data Engineer vs Data Analyst?

AspectEntry Level Streaming Data EngineerData Analyst
Required SkillsKnowledge of streaming platforms (e.g., Kafka, Spark), basic programming, data modelingData visualization, SQL, statistical analysis, Excel
CertificationsOptional certifications in data engineering or cloud platformsCertifications in data analysis or business intelligence tools
Work EnvironmentDeveloping real-time data pipelines, working with streaming data systemsInterpreting data, creating reports, supporting decision-making
Industry UsageTech, finance, e-commerce, where real-time data processing is criticalMarketing, finance, healthcare, focusing on data insights

In summary, Entry Level Streaming Data Engineers focus on building and maintaining real-time data pipelines using streaming technologies, while Data Analysts interpret and visualize data to support business decisions. Both roles require different skill sets but are essential in data-driven industries.

What are the most commonly searched types of Streaming Data Engineer jobs in Houston, TX? The most popular types of Streaming Data Engineer jobs in Houston, TX are:
What are popular job titles related to Entry Level Streaming Data Engineer jobs in Houston, TX? For Entry Level Streaming Data Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Streaming Data Engineer jobs in Houston, TX look for? The top searched job categories for Entry Level Streaming Data Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Entry Level Streaming Data Engineer jobs? Cities near Houston, TX with the most Entry Level Streaming Data Engineer job openings:
Infographic showing various Entry Level Streaming Data Engineer job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.
Data Engineer

$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.