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Etl Testing Jobs in Delaware (NOW HIRING)

Bespoke Labs

Data Engineer

Seaford, DE · On-site

$107K - $129K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Middletown, DE · On-site

$107K - $129K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Newark, DE · On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Smyrna, DE · On-site

$100K - $120K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Seaford, DE · On-site

$107K - $129K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Milford, DE · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Middletown, DE · On-site

$107K - $129K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Milford, DE · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Smyrna, DE · On-site

$100K - $120K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Newark, DE · On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Dover, DE · On-site

$114K - $137K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Dover, DE · On-site

$114K - $137K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

ICS Global Soft INC

Senior BigData Engineer

Wilmington, DE · On-site

$102K - $139K/yr

Theywill be analyzing current platform, planning and designing how to set up thenew data/ETL pipelines, then start coding. Technical Experience: * Big data tools: Hadoop, ApacheSpark, Kafka, etc.

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How much do etl testing jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for etl testing in Delaware is $57.43, according to ZipRecruiter salary data. Most workers in this role earn between $49.09 and $64.23 per hour, depending on experience, location, and employer.

What is the average salary for ETL testers?

The average salary for ETL testers typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Skilled testers with knowledge of tools like Informatica, Talend, or DataStage and certifications can command higher salaries.

What is the difference between Etl Testing vs Data Analyst?

AspectEtl TestingData Analyst
Primary FocusValidating data extraction, transformation, and loading processesAnalyzing data to identify trends and generate reports
Skills & CertificationsSQL, ETL tools, data warehousing certificationsSQL, Excel, data visualization tools, statistical knowledge
Work EnvironmentData warehouses, ETL pipelines, testing environmentsBusiness intelligence platforms, dashboards, reporting tools
Industry UsageData integration, ETL process validationData analysis, reporting, decision support

While Etl Testing focuses on validating data movement and transformation processes within data pipelines, Data Analysts interpret and analyze data to support business decisions. Both roles require SQL skills and work with data, but Etl Testing emphasizes quality assurance of data workflows, whereas Data Analysts focus on insights and reporting.

What are some common challenges faced by ETL testers during data migration projects?

ETL Testers often encounter challenges such as handling large volumes of data, ensuring data integrity during migration, and dealing with inconsistent or incomplete source data. They must be vigilant about identifying data anomalies, mapping errors, and performance bottlenecks in ETL pipelines. Close collaboration with data engineers and business analysts is essential to clarify data requirements and resolve discrepancies, ensuring seamless and accurate data transitions.

What are the key skills and qualifications needed to thrive as an ETL tester?

To thrive as an ETL Tester, you need a solid understanding of data warehousing concepts, SQL proficiency, and experience with ETL processes, typically supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or SSIS, as well as testing frameworks and defect tracking systems, is commonly required. Strong analytical thinking, attention to detail, and effective communication skills help ETL Testers identify data inconsistencies and collaborate with developers and business analysts. These skills ensure accurate data migration, high-quality deliverables, and support critical business decision-making based on reliable data.

What are the key skills and qualifications needed to thrive as an ETL tester, and why are they important?

ETL testing refers to the process of validating, verifying, and ensuring the accuracy of data as it moves through the Extract, Transform, and Load (ETL) process in data warehousing. This type of testing ensures that the data extracted from source systems is correctly transformed according to business rules and loaded into the target system without loss or corruption. ETL testers check for data completeness, data integrity, and performance of the ETL process, helping organizations maintain high-quality, reliable data for analytics and reporting.

How to become an ETL tester?

To become an ETL tester, you should have a strong understanding of data warehousing, SQL, and ETL tools like Informatica or Talend. Gaining experience in database testing, data validation, and scripting languages such as Python or Shell is also beneficial, along with relevant certifications like ISTQB or specific ETL tool certifications. Developing analytical skills and attention to detail are essential for effective testing in this role.

Is ETL testing still relevant?

ETL testing remains a vital part of data integration and data warehousing projects, ensuring data quality, accuracy, and consistency during data migration processes. As organizations increasingly rely on large-scale data analytics and business intelligence, skills in ETL testing, along with tools like Informatica, Talend, or Apache NiFi, continue to be in demand for validating data pipelines and workflows.

What are ETL testing jobs?

ETL testing jobs are data management and software jobs in which your responsibilities are to use an extract-transform-load test to ensure that data migration projects work properly. Specifically, your duties are to ensure that information extraction that comes from different sources and is to be presented differently by the destination source is transformed and loaded into a data warehouse properly. As an ETL tester, you may work for a specific company or for a business intelligence consulting firm that specializes in ETL testing and designing new data applications. You can also consult on a freelance basis.

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Etl Testing jobs near you
Infographic showing various Etl Testing job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,448 per year, or $57.4 per hour.

Data Engineer

Bespoke Labs

Seaford, DE • On-site

$107K - $129K/yr

Full-time

Re-posted 23 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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