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Etl Developer Remote Jobs in Austin, TX (NOW HIRING)

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

Design, develop, and maintain scalable data pipelines and ETL processes. * Build and optimize data solutions within Azure cloud environments, including Azure Synapse and Azure Data Factory.

CDK

Sr. Software Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Create extract-transform-load (ETL) EMR pipelines based on HADOOP, hive, Yarn resource manager ... as a Software Developer or related occupation. Alternatively, a Master's degree or foreign ...

SpyCloud

Security Data Analyst - Parsing

Austin, TX · On-site +1

$111K - $144K/yr

... ETL patterns, and Automation techniques. This is a local or remote role supporting a hybrid ... Python developer. * A love of working with data. Familiarity with cleaning/transforming data.

Wsgr

Principal Solutions Engineer

Austin, TX · On-site +1

Establish integration patterns (REST/GraphQL APIs, event-driven messaging, ETL/ELT), data contracts ... CI/CD (Azure DevOps/GitHub), Terraform, test automation, versioning, feature flags. * Security ...

Meta

Data Engineer, Product Analytics

Austin, TX · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data ...

Hireblazer

BI Data Architect (Data Modeling)

Austin, TX · Remote

$80 - $100/hr

Austin, TX (Remote for Anywhere in Texas) Duration: 3 Years Must have : Oil & Gas Industry Primary ... Partner with enterprise architects and data engineering teams to design efficient ETL/ELT pipelines ...

SpyCloud

Security Data Analyst - Parsing

Austin, TX · On-site +1

$111K - $144K/yr

... ETL patterns, and Automation techniques. This is a local or remote role supporting a hybrid ... Python developer. * A love of working with data. Familiarity with cleaning/transforming data.

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Etl Developer Remote information

See Austin, TX salary details

$31

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How much do etl developer remote jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for etl developer remote in Austin, TX is $56.87, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $63.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote ETL Developer, and why are they important?

To excel as a Remote ETL Developer, you need strong expertise in data warehousing, ETL processes, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or SSIS, as well as experience with cloud platforms and database technologies, is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with distributed teams and troubleshooting data issues. These competencies ensure accurate, efficient data integration and support critical business intelligence initiatives in a remote work environment.

What are ETL Developers?

ETL Developers are IT professionals who design, implement, and maintain systems for extracting, transforming, and loading data from various sources into a centralized data warehouse or database. They work with different data formats and tools to ensure data is accurately and efficiently processed for business intelligence and analytics. Remote ETL Developers perform these tasks from a location outside the employer’s office, using collaboration tools and secure connections to manage data workflows.

How to Become an ETL Developer Who Works Remotely

The minimum qualifications for an ETL developer include a bachelor’s degree in software engineering, computer science, or a related field. Strong communication skills are important to relay issues that require attention accurately. Experience with NoSQL databases and PL/SQL development is beneficial. It is also helpful to have experience retrieving data from multiple data source types, interfacing with business users, and using dimensional modeling. You can stand out above other candidates if you have experience with Hadoop components, including HBase, Sqoop, HDFS, Hive, and Spark, experience with .NET or Java, and knowledge of SSAS, OLAP, and MDX.

How do ETL Developers working remotely typically collaborate with data engineers and analysts to ensure data quality and project success?

Remote ETL Developers usually collaborate closely with data engineers and analysts through virtual meetings, shared project management tools, and version-controlled code repositories. Regular stand-ups and agile sprints help align team members on data requirements, transformation logic, and delivery timelines. Effective communication and thorough documentation are crucial to address data quality issues promptly and to ensure that business objectives are met. Most teams rely on platforms like Slack, Jira, and GitHub to maintain transparency and streamline workflow across different locations.
More about Etl Developer Remote jobs
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Etl Developer Remote jobs near you
Infographic showing various Etl Developer Remote job openings in Austin, TX as of July 2026, with employment types broken down into 81% Full Time, 7% Part Time, 1% Temporary, and 11% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $118,297 per year, or $56.9 per hour.
Senior Python Developer / Data Engineer / ML Pipelines

Senior Python Developer / Data Engineer / ML Pipelines

Eitacies Inc

Austin, TX • Remote

$117K - $140K/yr

Full-time

Posted 2 days ago

Job description

Senior Python Developer / Data Engineer / ML Pipelines
100% Remote role
Responsibilities
  • Design and build large-scale data pipelines for ingestion, transformation and processing
  • Work on ETL/ELT workflows handling different types of data 
  • Build and maintain end-to-end ML pipelines  from data preparation to deployment and monitoring
  • Collaborate with data scientists to productionize ML models
  • Work on feature engineering, training pipelines and model serving
  • Ensure data quality, monitoring and pipeline reliability
  • Optimize systems for performance, scalability and cost
  • Contribute to clean, maintainable, production-grade Python code
Experience Required
  • 8+ years of software engineering experience with Python as primary language
  • Strong background in data engineering (ETL/ELT, pipelines, data processing)
  • Hands-on experience building and maintaining ML pipelines in production environments
  • Experience with PySpark / Apache Spark
  • Experience with workflow orchestration tools like Airflow, Dagster, or Prefect
  • Good understanding of streaming/data processing systems (Kafka, Kinesis, etc.)
  • Experience working with cloud platforms (AWS / GCP / Azure)
  • Strong SQL skills and experience with data warehouses
  • Comfortable working in a distributed/remote engineering setup
Plus
  • Experience with NLP or LLM-based systems
  • Familiarity with MLOps tools like MLflow, Kubeflow, or similar
  • Experience with feature stores
  • Exposure to data privacy, PII detection, or compliance-related systems

This is a remote position.