ZipRecruiter

Log In

1

Extraction Lab Manager Jobs in Dallas, TX (NOW HIRING)

GM Financial

Manager - Data Engineering

Irving, TX · On-site

$106K - $127K/yr

  • Retirement

Evaluate, research, experiment with data engineering technologies in a lab to keep pace with ... Support ETL developers and Operations teams to troubleshooting of the incidents for root cause ...

Abbott

BI Developer (SQL)

Irving, TX · On-site

$61K - $122K/yr

  • Medical

  • Life

  • Retirement

In-depth understanding of database management systems, online analytical processing (OLAP) and ETL ... CRLB Core Lab LOCATION: United States > Irving : LC-8 ADDITIONAL LOCATIONS: WORK SHIFT: Standard ...

Abbott

BI Developer (SQL)

Irving, TX · On-site

$61K - $122K/yr

  • Medical

  • Life

  • Retirement

In-depth understanding of database management systems, online analytical processing (OLAP) and ETL ... CRLB Core Lab LOCATION: United States > Irving : LC-8 ADDITIONAL LOCATIONS: WORK SHIFT: Standard ...

Abbott

BI Developer (SQL)

Irving, TX · On-site

$61K - $122K/yr

  • Medical

  • Life

  • Retirement

In-depth understanding of database management systems, online analytical processing (OLAP) and ETL ... CRLB Core Lab LOCATION: United States > Irving : LC-8 ADDITIONAL LOCATIONS: WORK SHIFT: Standard ...

next page

Showing results 1-20

All JobsExtraction Lab JobsExtraction Lab Manager JobsExtraction Lab Manager Jobs in Dallas, TX

Extraction Lab Manager information

See Dallas, TX salary details

$32.1K

$91K

$147.4K

How much do extraction lab manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for extraction lab manager in Dallas, TX is $90,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $109,800.00 per year, depending on experience, location, and employer.

What is an extraction lab manager?

Extraction Lab Managers are professionals responsible for overseeing the extraction of compounds from raw materials, commonly in industries like pharmaceuticals, food and beverage, and cannabis. They manage the daily operations of extraction labs, ensure compliance with safety and regulatory standards, supervise staff, and optimize extraction processes for efficiency and quality. Their role also includes maintaining equipment, managing inventory, and ensuring all products meet quality control standards. Extraction Lab Managers often have backgrounds in chemistry, biology, or related fields and play a key role in product development and process improvement.

What are some common challenges faced by an extraction lab manager in maintaining compliance with safety and regulatory standards?

Extraction Lab Managers often encounter challenges in ensuring their operations strictly adhere to evolving safety and regulatory requirements, especially in industries like cannabis or pharmaceuticals. They must stay updated on local, state, and federal regulations, conduct regular staff training on safety protocols, and maintain meticulous documentation for audits. Balancing efficient production with rigorous compliance can be demanding, but proactive communication, continuous process improvement, and a strong safety culture help mitigate these challenges.

What are the key skills and qualifications needed to thrive as an extraction lab manager, and why are they important?

To thrive as an Extraction Lab Manager, you need a solid background in chemistry or biochemistry, experience with extraction processes, and often a relevant degree or certification. Proficiency with laboratory equipment, extraction technologies (such as CO2 or ethanol extraction), and familiarity with regulatory compliance systems like GMP are typically required. Strong leadership, attention to detail, and effective communication skills help ensure team coordination and adherence to safety protocols. These skills and qualifications are critical for maintaining product quality, regulatory compliance, and efficient lab operations.

What is the difference between Extraction Lab Manager vs Extraction Technician?

AspectExtraction Lab ManagerExtraction Technician
CredentialsRelevant certifications, management experienceTechnical certifications, training in extraction processes
Work EnvironmentSupervisory role in lab setting, overseeing operationsHands-on extraction work, operating equipment
Industry UsageUsed in labs, production facilities, overseeing extraction teamsPerforms extraction tasks under supervision

The Extraction Lab Manager typically oversees extraction operations, manages staff, and ensures quality control, requiring management skills and relevant certifications. In contrast, the Extraction Technician focuses on executing extraction procedures, operating equipment, and maintaining safety protocols. Both roles are essential in extraction labs but differ mainly in responsibility level and scope of work.

What are popular job titles related to Extraction Lab Manager jobs in Dallas, TX?

For Extraction Lab Manager jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Extraction Lab Manager jobs in Dallas, TX look for?

The top searched job categories for Extraction Lab Manager jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Extraction Lab Manager jobs?

Cities near Dallas, TX with the most Extraction Lab Manager job openings:

Extraction Lab Manager jobs near you
Infographic showing various Extraction Lab Manager job openings in Dallas, TX as of August 2026, with employment types broken down into 44% Full Time, 29% Part Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,970 per year, or $43.7 per hour.

Manager - Data Engineering

GM Financial

Irving, TX • On-site

$106K - $127K/yr

Full-time

Retirement

Posted 17 days ago

GM Financial rating

8.2

Company rating: 8.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

55th of 175 rated vehicle equipment hire

Job description


Why GM Financial Technology
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
Work Arrangement: Hybrid - 2 days onsite, 3 days remote per week
Responsibilities
About the role:
We are expanding our efforts into complementary data technologies for analytics and decision support in areas of ingesting and processing large data sets. Our interests are in enabling data science and search based applications on large and low latent data sets in both a batch and streaming context for processing. To that end, this role will engage with team counterparts in exploring, developing and deploying technologies for creating data sets using a combination of batch and streaming transformation processes. These data sets support both off-line and in-line machine learning training and model execution. Other data sets support search engine based analytics. Exploration and deployment of technologies activities include identifying opportunities that impact business strategy, selecting data solutions software, and defining hardware requirements based on business requirements. Responsibility also includes coding, testing, and documentation of new or modified scalable analytic data systems including automation for deployment and monitoring. This role participates along with team counterparts to architect an end-to-end framework developed on a group of core data technologies. Other aspects of the role include developing standards and processes for data engineering projects and initiatives.
What makes you a dream candidate?
  • Evaluate, research, experiment with data engineering technologies in a lab to keep pace with industry innovation while assessing business impact and viability for use cases associated with efforts in hand
  • Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
  • Define and refine processes and procedures for the data engineering practice
  • Work closely with data scientists, data architects, ETL developers, other IT counterparts, and business partners to identify, capture, collect, and format data from the external sources, internal systems, and the data warehouse to extract features of interest
  • Code, test, deploy, monitor, document, and troubleshoot data engineering processing and associated automation
  • Define data engineering architecture both hardware and software reflective of business requirements to be included in end-to-end solution architecture
  • Educate and develop ETL developers on data engineering so as to enable transition to data engineer and practice
  • Conduct code reviews, suggest improvements, support technology upgrades for the common libraries, handover them to the corresponding development teams for quality check and support them till deployment into production
  • Support ETL developers and Operations teams to troubleshooting of the incidents for root cause analysis and assist in solutioning to meet the service level agreements
  • Work with Operations teams in Big Data, IT and Information Security with monitoring and troubleshooting of incidents to maintain service levels
  • Contribute to the evolving distributed systems architecture to meet changing requirements for scaling, reliability, performance, manageability, and cost
  • Report utilization and performance metrics to user communities
  • Contributes to planning and implementation of new/upgraded hardware and software releases
  • Responsible for monitoring the Linux, Hadoop, and Spark communities and vendors and report on important defects, feature changes, and or enhancements to the team
  • Research and recommend innovative, and where possible, automated approaches for administration tasks
  • Identify approaches to efficiencies in resource utilization, provide economies of scale, and simplify support issues

Qualifications
Have Other Skills? We Use These Too
  • Strong working knowledge of Hadoop and Spark cluster security, networking connectivity and IO throughput along with other factors that affect distributed system performance
  • Strong working knowledge of disaster recovery, incident management, and security best practices
  • Working knowledge of containers (e.g., docker) and major orchestrators (e.g., Mesos, Kubernetes, Docker Datacenter)
  • Working knowledge of automation tools (e.g., Puppet, Chef, Ansible)
  • Working knowledge of software defined networking
  • Working knowledge of parcel based upgrades with Hadoop (i.e., Cloudera)
  • Working knowledge of hardening Hadoop with Kerberos, TLS, and HDFS encryption
  • Working knowledge with directed analytic graph stream processing using Beam, Flink, Nifi and/or Samza
  • Excellent knowledge of Linux, AIX, or other Unix flavors
  • Working knowledge of Cloud based implementations (e.g., Microsoft Azure) with emphasis on security using ACLs and Artifactory Groups
  • Ability to accept change and to adapt to shifting organizational challenges and priorities
  • Ability to coach, develop and lead others
  • Ability to evaluate problems and issues quickly, and to make recommendations for courses of action
  • Ability to make independent decisions and use sound judgment in relation to the management of team members
  • Ability to prioritize tasks and ensure their completion in a timely manner
  • Excellent analytical and troubleshooting skills
  • Strong interpersonal, verbal and written skills

Work Experience
  • 5-7 years experience with software engineering to include Java, Scala, and Python required
  • 5-7 years proficiency with processing large data sets with Kafka, RabbitMQ, Flume, Hadoop, HBase, Cassandra and/or Spark or similar distributed system required
  • 3-5 years hands-on experience with scripting with Bash, Perl, Ruby required
  • 3-5 years hands-on development / processing experience on Kafka, HBase, Solr, and Hue required
  • 2-4 years hands-on experience with ETL and Business Intelligence technologies such as Informatica, DataStage, Ab Initio, Cognos, BusinessObjects, or Oracle Business Intelligence required
  • 2-3 years hands-on experience with SQL, data modeling, and relational databases such as Oracle, DB2, and Postgres required
  • Proven track record with NoSQL data stores such as MongoDB, Cassandra, HBase, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise required
  • 0-2 years management experience with data engineering team preferred
  • High School Diploma or equivalent required
  • Bachelor's Degree in related field or equivalent work or military experience required

Additional Knowledge and Skills
Working effectively within an AI enabled environment:
  • Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
  • Skills in evaluating AI outputs for accuracy, compliance, and bias
  • Experience integrating AI into workflows to improve efficiency or insights
  • Familiarity with AI assisted research, summarization, and content generation
  • Understanding of responsible AI use, including ethics and data protection
  • Experience with AI assisted software development or automation
  • Knowledge of prompting techniques to improve output quality
  • Awareness of emerging GenAI capabilities and limitations

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2-days a week in office.
#LI-DH1
#LI-Hybrid
#GMFjobs

What GM Financial employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply