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Weekend Amazon Data Engineer Jobs in Houston, TX

Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

About the Position Conduit Power is seeking a Data Engineer to help build and scale our cloud ... Experience with streaming platforms such as Apache Kafka, Amazon Kinesis, MQTT, or similar ...

Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills Agile Methodology Amazon Web Services Apache Hadoop Apache Kafka Apache Spark Big Data ...

Data Solutions - Data Engineer

Spring, TX ยท On-site

$130K - $205K/yr

... โ€ข Amazon Web Services โ€ข Apache Hadoop โ€ข Apache Kafka โ€ข Apache Spark โ€ข Big Data โ€ข ... โ€ข Data Engineering โ€ข Data Modeling โ€ข Data Pipelines โ€ข Data Warehousing โ€ข Extract ...

Lead Data Engineer

Houston, TX ยท On-site

$97K - $128K/yr

Lead Data Engineer (Full-Time, Direct Hire) Our client, a well-established company in the midstream ... At least 5 years of hands-on experience building data solutions within Amazon Web Services (AWS)

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Databricks Data Engineer II

Houston, TX ยท On-site

$109K - $131K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Sr Databricks Data Engineer

Houston, TX

$109K - $131K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

AMAZON.COM SERVICES LLC Offered Position: Business Intel Engineer II Job Location: Houston, Texas ... Builds and analyzes data systems, spots important business patterns, creates metrics that measure ...

Sr Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

You will work hands-on with modern data technologies such as Amazon Redshift, Databricks, and cloud ... You will apply strong software engineering principles to optimize data ingestion, transformation ...

Sr Data Engineer

Houston, TX

$109K - $131K/yr

You will work hands-on with modern data technologies such as Amazon Redshift, Databricks, and cloud ... You will apply strong software engineering principles to optimize data ingestion, transformation ...

Lead Data Engineer

Houston, TX ยท On-site

$97K - $128K/yr

Deloitte is seeking a Lead Data Engineer- Databricks to support the design, build, and delivery of ... Master's degree Experience with Delta Lake, Unity Catalog, or MLflow Experience with Amazon Web ...

Data Engineer - Senior Associate

Houston, TX ยท On-site

$77K - $202K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

Data Scientist II - AMZ27028.1

Houston, TX ยท On-site

$136K - $184K/yr

Amazon Web Services, Inc. Position: Data Scientist II Location: Houston, TX Multiple Positions ... Mathematics, Economics, Engineering, Computer Science, or a related field and one year of ...

Amazon Web Services * Apache Hadoop * Apache Kafka * Apache Spark * Big Data * Computer Science * Data Analysis * Data Engineering * Data Modeling * Data Pipelines * Data Warehousing * Extract ...

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Weekend Amazon Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do weekend amazon data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for weekend amazon 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 are Weekend Amazon Data Engineers?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for an Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What are the most commonly searched types of Amazon Data Engineer jobs in Houston, TX? The most popular types of Amazon Data Engineer jobs in Houston, TX are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Houston, TX look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Weekend Amazon Data Engineer jobs? Cities near Houston, TX with the most Weekend Amazon Data Engineer job openings:

Data Engineer

Conduit Services LLC

Houston, TX โ€ข On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

About the Position

Conduit Power is seeking a Data Engineer to help build and scale our cloud-native data platform that powers operational visibility, power market analytics, asset performance monitoring, and business intelligence across our growing generation portfolio.

In this role, you will design and develop scalable data pipelines, streaming data solutions, and cloud native applications that transform high-volume operational, SCADA, and ERCOT market data into trusted data products. Working closely with Operations, Commercial, and Engineering teams, you will help build and drive production systems supporting real-time analytics, automation, forecasting, and data-driven decision making.

You will:

Data Platform & Engineering

  • Design, develop, and optimize scalable cloud-native data pipelines and data platform architecture on AWS.
  • Build and maintain batch and streaming ETL/ELT workflows that ingest, transform, and validate high-frequency operational, SCADA, time-series, and power market data (ERCOT, SPP, PJM, etc.) across distributed generation assets.
  • Develop production-ready solutions using tools such as Snowflake, dbt, Fivetran, Python, SQL, and AWS services including S3, Lambda, DynamoDB, ECS, Step Functions.
  • Integrate telemetry, historian, and operational technology (OT) data into enterprise data platforms supporting real-time and historical analytics.

Analytics Engineering

  • Design and optimize data models that power dashboards, reporting, and self-service analytics through Sigma.
  • Implement automated data quality validation, monitoring, observability, and troubleshooting to ensure trusted production data.

DevOps & Engineering Excellence

  • Contribute to GitHub Actions CI/CD pipelines, version control, containerized deployment, and engineering best practices for data applications.
  • Utilize modern AI assisted engineering tools (Cursor, Claude, or similar) to improve software development, debugging, documentation, and engineering productivity.
  • Improve system performance, scalability, reliability, and cost efficiency across the data platform.

What You Bring to the Team:

  • Bachelorโ€™s degree in computer science, Data Engineering, Information Systems, Engineering, or a related technical field.
  • 3โ€“5 years of experience in data engineering, software engineering, or a related role.
  • Strong proficiency in Python, SQL, Git, and modern cloud data platforms, preferably AWS
  • Experience building and maintaing ETL/ELT processes, data pipelines, data lakes, and data warehouse, and cloud native data platforms.
  • Experience with Snowflake, dbt, and modern data modeling techniques
  • Experience working with large scale datasets, time-series data, streaming data, and event-driven architectures
  • Familiarity with workflow orchestrations frameworks such as Apache Airflow, Prefect, Dagster, AWS Step Functions, or similar
  • Experience with distributed data processing frameworks such as Apache Spark, PySpark, or similar is preferred.
  • Experience with streaming platforms such as Apache Kafka, Amazon Kinesis, MQTT, or similar messaging technologies is a plus
  • Experience with containerization, CI/CD, and version control (Docker, GitHub Actions, GitLab CI, Jenkins, or similar) is a plus.
  • Familiarity with AI-assisted development tools, generative AI technologies, or AI-powered data platforms (e.g., Snowflake Cortex) is a plus.
  • Familiarity with SCADA systems, industrial telemetry, historian data, or operational technology environments is preferred
  • AWS certifications and experience in the energy, utilities, power generation, or renewable energy sectors is preferred.
  • Working knowledge of industrial communication protocols such as Modbus, MQTT, OPC-UA, or DNP3 are a plus.
  • Strong analytical, problem-solving, communication, and stakeholder collaboration skills.
  • This is an onsite position based in Houston, Texas. Candidates must be willing and able to work from the Houston office Monday through Thursday.

What Conduit Brings to You:

  • Opportunity to play a significant role in transforming the energy industry.
  • Growth, development, learning, and advancement opportunities
  • A flexible environment where your voice, thoughts, and ideas are valued and heard.
  • Excellent benefits (company-paid and voluntary): Health / Dental / Vision / Life / AD&D / STD / LTD / AFLAC / Pet / Legal / Commuter / 401(k) with Company Match / Paid Time Off and more.

Location:

Houston, TX


Target Comp Range:

Commensurate with experience

About Conduit Power

Conduit Power builds and operates long-term contracted electrical infrastructure allowing customers to increase reliability, reduce power costs, and minimize carbon emissions.

Conduit is a portfolio company of Grey Rock Investment Partners. Grey Rock Investment Partners is a private equity firm with more than $1.3 billion in asset value across its private equity fund platform. The firm invests across the energy value chain with private equity funds focusing on investments in natural resources, carbon capture, industrial electrification, and power optimization.