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Entry Level Data Extraction Jobs (NOW HIRING)

ETL Engineer

Manhattan, NY · On-site

$120/hr

This is not an entry-level role. You will be working with modern data tools and large datasets ... Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks * Build and ...

This is not an entry-level role. You will be working with modern data tools and large datasets ... Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks * Build and ...

Exposure to data engineering workflows or ETL pipelines. * Basic knowledge of automation frameworks ... Who Should Apply * Entry Level Candidates looking to start a career in data engineering and QA. * ...

Data Architect(33397)

Phoenix, AZ · On-site

$63.25 - $81.50/hr

... in related roles DW, ETL, BI, or data management - Experience, working knowledge of, or ... entry level to senior leadership Ability to manage multiple projects at the same time and shift ...

Develop ETL solutions using SQL Server Integration services (SSIS) Develop reports using SQL Server ... entry level to senior leadership Ability to work on multiple projects at the same time and shift ...

QC Engineer-Quality

Decatur, IL · On-site

$55K - $63K/yr

This entry-level position is ideal for candidates with a background in business analytics, database ... QUALIFICATIONS / SKILLS: · Experience writing basic SQL queries and performing data extraction · ...

... extract sensitive data and formats that data manually in Excel. The outputs of this role contribute to individuals being notified of data incidents. While this is an entrylevel, parttime role, it ...

Generate litigation quality field notes and enter collected field data electronically to database ... extraction systems, soil vapor extraction, dual phase extraction and related environmental ...

Data Asset Manager

Box Elder, SD · On-site

$85K - $122K/yr

Work with development teams on ETL processes, engage with vendors to integrate governance practices ... Job Schedule Full time Job Number R000147268 Job Segmentation Entry Level Starting Pay / Salary ...

Entry-Level Environmental Technician

Borger, TX · On-site

$18 - $24/hr

Generate litigation quality field notes and enter collected field data electronically to database ... extraction systems, soil vapor extraction, dual phase extraction and related environmental ...

Exposure to data engineering workflows or ETL pipelines. * Basic knowledge of automation frameworks ... Who Should Apply * Entry Level Candidates looking to start a career in data engineering and QA. * ...

jr java developer/Data analyst

Berkeley, CA

$139K - $167K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... Data Analytics and Engineering -SQL, Power BI, Tableau, Snowflake, Databricks, Python ETL, and more ...

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Entry Level Data Extraction information

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How much do entry level data extraction jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for entry level data extraction in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What are some common challenges faced in an entry level data extraction role, and how can they be addressed?

Entry level data extraction professionals often encounter challenges such as dealing with inconsistent data formats, handling large volumes of unstructured information, and learning new data extraction tools or software. Addressing these challenges involves developing strong attention to detail, collaborating closely with team members to share best practices, and proactively seeking training opportunities to build technical skills. Regular communication with supervisors and peers can also help in troubleshooting issues and improving workflow efficiency.

What is the difference between Entry Level Data Extraction vs Data Analyst?

AspectEntry Level Data ExtractionData Analyst
Required CredentialsHigh school diploma or equivalent; basic knowledge of data toolsBachelor's degree in data science, statistics, or related field
Work EnvironmentData collection, cleaning, and initial processing; often in data-focused teamsData analysis, interpretation, reporting; often in cross-functional teams
Employer & Industry UsageUsed in tech, finance, marketing for data gathering tasksUsed across industries for insights, decision-making, and reporting

Entry Level Data Extraction involves gathering and preparing data for analysis, requiring basic technical skills. Data Analysts build on this foundation, performing in-depth analysis, interpretation, and reporting. While data extraction is a starting point, data analysis involves a broader skill set and strategic insights.

What is an Entry Level Data Extraction job?

An Entry Level Data Extraction job involves collecting, organizing, and processing data from various sources, such as documents, websites, or databases. People in this role typically use basic tools and software to extract relevant information, ensuring its accuracy and completeness. These positions are suitable for individuals new to the field and often require attention to detail, basic computer skills, and sometimes familiarity with data management tools. Entry level data extraction jobs serve as a starting point for careers in data analysis and data management.

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

To thrive as an Entry Level Data Extraction specialist, you need strong attention to detail, basic data analysis skills, and familiarity with spreadsheets or databases, often supported by a high school diploma or equivalent. Commonly used tools include Microsoft Excel, Google Sheets, and sometimes data extraction software or simple scripting languages like Python. Strong organizational skills, problem-solving abilities, and effective communication help you excel in handling large volumes of information and clarifying data requirements. These skills ensure accuracy, efficiency, and reliability in preparing and delivering data critical for business decisions.
More about Entry Level Data Extraction jobs
What cities are hiring for Entry Level Data Extraction jobs? Cities with the most Entry Level Data Extraction job openings:
What are the most commonly searched types of Data Extraction jobs? The most popular types of Data Extraction jobs are:
What states have the most Entry Level Data Extraction jobs? States with the most job openings for Entry Level Data Extraction jobs include:
What job categories do people searching Entry Level Data Extraction jobs look for? The top searched job categories for Entry Level Data Extraction jobs are:
Infographic showing various Entry Level Data Extraction job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.
ETL Engineer

ETL Engineer

MedReview

Manhattan, NY • On-site

$120/hr

Full-time

Posted 9 hours ago


Job description

Position Summary:
MedReview is looking for a hands-on ETL Engineer who knows how to build, optimize, and scale data pipelines in a high-performance environment. This is not an entry-level role. You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing.
If you're someone who can take ownership of data pipeline end-to-end and thrives in a fast-paced data-driven environment, this role is for you. This is an on-site role Monday - Thursday with remote Fridays. Candidates must be able to consistently work on-site. No exceptions. Salary $120-130K
Responsibilities:
You will be responsible for building and maintaining scalable ETL pipelines that power analytics and business intelligence.
  • Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks
  • Build and optimize ClickHouse ingestion pipelines (batch + streaming)
  • Develop transformations for structured and semi-structured data
  • Optimize SQL Server and ClickHouse queries for performance and scalability
  • Improve data models, partitions, and materialized views in ClickHouse
  • Integrate data from multiple sources (APIs, SQL Server, cloud storage, Kafka/Event Hubs)
  • Monitor pipeline performance and ensure low latency + high reliability
  • Implement data quality checks, error handling and lineage tracking
  • Partner with BI teams to support dashboards (Power BI, etc)
Must-Haves (Non-Negotiables):
We are targeting candidates who already have strong, hands-on experience in the following:
  • ETL tools: Azure Data Factory, SSIS, Databricks
  • Strong SQL skills (writing, optimizing, and troubleshooting complex queries)
  • Experience working with ClickHouse (schema design, ingestion, optimization)
    Experience with cloud environments (Azure perferred)
  • Programing in Python or Scala for data processing
If you do not have ETL + SQL + ClickHouse exposure, you will not be a fit.
Nice to Have:
  • Experience with streaming data (Kafka, Event Hubs)
  • Exposure to big data frameworks
  • Understanding of DevOps/Data pipeline deployment practices
  • Experience supporting BI tools (Power BI, Tableau)
What Success Looks Like:
  • You can independently build and optimize ETL pipelines
  • You understand how to make data systems faster, cleaner, and scalable
  • You're comfortable working across engineering, analytics, and business teams
  • You proactively identify performance issues and fix them