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Data Extraction Jobs in Remote, OR (NOW HIRING)

Data Engineer

OR · On-site

$35 - $40/hr

Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform. * Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt. * Develop and maintain high-quality data ...

Technical Data Steward

OR · Remote

$60 - $70/hr

Provide subject matter expertise on: o Source systems o Data stores and warehouses o ETL processes and pipelines o Business intelligence tools * Ensure proper implementation of data across systems ...

Sr. Data Analytics Engineer

OR

$107K - $128K/yr

Work on data transformation, using the ETL tools. Build dimension views and fact tables. * Interact with the client business community to gather/develop functional and technical requirements and ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Work on data transformation, using the ETL tools. Build dimension views and fact tables. * Interact with the client business community to gather/develop functional and technical requirements and ...

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Senior Data Engineer (Azure/Databricks)

OR · Remote

$125K - $165K/yr

Build and maintain efficient ETL/ELT processes for structured and unstructured data sources. * Design and optimize enterprise data warehouses, data lakes, and modern analytics platforms. * Create ...

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Senior Data Engineer (Azure/Databricks)

OR · Remote

$125K - $165K/yr

Build and maintain efficient ETL/ELT processes for structured and unstructured data sources. * Design and optimize enterprise data warehouses, data lakes, and modern analytics platforms. * Create ...

New

Solutions Integrations Architect

OR

$59 - $77.75/hr

... extract key data from heterogeneous systems. This role works closely with a wide variety of customers from senior project managers to developers, business units within L+G and the customer's team to ...

Proficiency in Data Engineering & Databases - PostgreSQL knowledge (queries, migrations, performance tuning), understanding of ETL concepts * Proficiency in Python, SQL, and Shell scripting for ...

Key Responsibilities Insert and extract SEALs and other special operations personnel from rivers ... data on enemy installations, shipping, and coastal activity; assist military and civilian law ...

Adobe CDP Engineer

OR · Remote

$105K - $141K/yr

Design and implement data ingestion pipelines using Adobe APIs, ETL tools, and native connectors. * Ensure seamless activation of audiences across paid media, owned channels, and CRM. Governance ...

Key Responsibilities Insert and extract SEALs and other special operations personnel from rivers ... data on enemy installations, shipping, and coastal activity; assist military and civilian law ...

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Data Extraction information

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

How to become a data extraction?

To become a data extraction specialist, develop skills in data analysis, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects in this field.

What are the key skills and qualifications needed to thrive in data extraction, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the most commonly searched types of Data Extraction jobs in Remote, OR? The most popular types of Data Extraction jobs in Remote, OR are:
What are popular job titles related to Data Extraction jobs in Remote, OR? For Data Extraction jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Data Extraction jobs in Remote, OR look for? The top searched job categories for Data Extraction jobs in Remote, OR are:
What cities near Remote, OR are hiring for Data Extraction jobs? Cities near Remote, OR with the most Data Extraction job openings:
Infographic showing various Data Extraction job openings in Remote, OR as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution.

Data Engineer

BCForward

OR • On-site

$35 - $40/hr

Contractor

Posted 9 days ago


Job description

Job Title: Data Engineer

Location: Remote - PST time zone

Duration: Contract - 17 months

Job Description

We are seeking a Data Engineer to join our Supply Chain Data & AI organization. The ideal candidate will have strong experience in building cloud-native data products and pipelines on Google Cloud Platform using BigQuery, Dataproc, SQL, and dbt and a proven ability to deliver scalable, reliable data models and pipelines that power analytics and AI across Sourcing, Transportation, and Warehouse Management.

Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
  • Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
  • Develop and maintain high-quality data models for reporting, analytics, and AI.
  • Ingest, transform, validate, and publish data from multiple enterprise source systems.
  • Collaborate with product managers, business analysts, architects, and engineers to deliver scalable data solutions.
  • Create reusable transformation components and follow engineering standards and best practices.
  • Optimize data processing performance, reliability, and cost efficiency.
  • Perform unit testing, data validation, and production support to ensure quality and stability.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, and code reviews.
  • Document technical designs, data flows, and implementation details.

Required Skills & Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.
  • 4+ years of experience in data engineering.
  • Hands-on experience delivering data solutions on Google Cloud Platform.
  • Proficiency with Dataproc, BigQuery, SQL, and dbt.
  • Strong knowledge of data modeling, including dimensional modeling and analytical warehousing concepts.
  • Experience building scalable ETL/ELT pipelines and processing large datasets.
  • Familiarity with Git-based version control and CI/CD practices.
  • Analytical, troubleshooting, and problem-solving skills.
  • Effective communication and collaboration abilities.
  • Apache Airflow for workflow orchestration.
  • Apache Kafka or other event streaming platforms.
  • PySpark for distributed data processing.
  • Python for data engineering, scripting, and automation.
  • Understanding of data quality, metadata management, and data governance.

Domain Experience (Highly Desirable):

  • Retail industry, especially apparel.
  • Supply chain data platforms.
  • Transportation and logistics.
  • Warehouse Management Systems (WMS).
  • Distribution center operations.

Company Description

About BCforward:

Founded in 1998 on the idea that industry leaders needed a professional service, and workforce management expert, to fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing unique solutions supporting value capture and digital product delivery needs for organizations around the world. Headquartered in Indianapolis, IN with an Offshore Development Center in Hyderabad, India, BCforward’s 6,000 consultants support more than 225 clients globally.

BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to become a market leader and best in class place to work.


BCforward logo

About BCforward

Sourced by ZipRecruiter

BCforward began as an IT business solutions and staffing firm. Founded in 1998, BCforward has grown with our customers' needs into a full service personnel solutions organization. Headquartered in Indianapolis, Indiana, BCforward also operates numerous delivery centers across North America and India. We are currently the largest consulting firm and largest MBE certified firm in Indiana. Our uninterrupted growth has allowed BCforward to deliver uniquely configured IT staffing and project solutions for over years of catering to our customers' specific needs. BCforward currently maintains a team of over 5000 global resources. With our additional brand, Stafforward, together we have the capabilities to deliver services for a variety of industries in both public and private sectors which allows us to address your most challenging needs.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Indianapolis, IN, US

Year founded

1998

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