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Weekend Data Engineer Contract Jobs in Missouri (NOW HIRING)

Data Scientist II

California, MO · On-site

$118.60 - $157.14/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Collaborating closely with Data Science Developers, this role partners with our business ... our contracts and claims activity. * Support business operations, finance, quality systems, and ...

$80K - $110K/yr

  • Medical

  • Retirement

  • PTO

Work closely with data engineers to design cloud-based data pipelines. Collaborate with data ... Genuinely meaningful work as part of the most successful alliance in history; 3 year contract with ...

$80K - $110K/yr

  • Medical

  • Retirement

  • PTO

Work closely with data engineers to design cloud-based data pipelines. Collaborate with data ... Genuinely meaningful work as part of the most successful alliance in history; 3 year contract with ...

Software Engineer

Pittsburg, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and support ETL processes, data integrations, webhooks, event-driven architectures, message ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

New

St Louis, MO - Onsite Position Duration: 6 months GC/USC Highly Preferred - Potential contract to ... Engineering, Social Science, or Statistics) * Must have 2+ years of experience with predictive ...

Data Modeler

Saint Louis, MO · On-site

$52 - $67.25/hr

Louis, MO Duration: 6+ Month Contract Description Position Purpose: Design, build, test and ... Experience in atleast 3 Programming Languages (Java, Scala, Clojure, Python, R, C, C++) App ...

Data Modeler

Saint Louis, MO · On-site

$52 - $67.25/hr

Louis, MO Duration: 6+ Month Contract Description Position Purpose: Design, build, test and ... Experience in atleast 3 Programming Languages (Java, Scala, Clojure, Python, R, C, C++) App ...

Showing results 41-60

Weekend Data Engineer Contract information

What is a Weekend Data Engineer Contract?

A Weekend Data Engineer Contract is a temporary or freelance position where a data engineer works primarily on weekends. These roles typically involve building, maintaining, or optimizing data pipelines and databases, ensuring data quality, and supporting analytics needs during weekend shifts. This setup is often used by companies that require continuous data operations or have projects with tight deadlines. Weekend contracts can provide flexibility for both the engineer and the employer, and may be ideal for those seeking additional income or balancing other commitments.

What is the difference between Weekend Data Engineer Contract vs Weekend Data Analyst Contract?

AspectWeekend Data Engineer ContractWeekend Data Analyst Contract
Required CredentialsTypically requires a degree in Computer Science, Data Engineering certifications, SQL, Python, and cloud platform knowledgeUsually requires a degree in Data Science, Statistics, or related fields, with proficiency in SQL, Excel, and data visualization tools
Work EnvironmentPrimarily technical, involving building data pipelines, ETL processes, and data infrastructureFocuses on analyzing data, generating reports, and providing insights for decision-making
Employer & Industry UsageUsed in tech companies, finance, healthcare, and industries with large data needsCommon in marketing agencies, retail, finance, and any sector requiring data reporting

Weekend Data Engineer Contracts involve building and maintaining data infrastructure, requiring technical skills and certifications. In contrast, Weekend Data Analyst Contracts focus on analyzing data and creating reports. Both roles are in demand across various industries but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Weekend Data Engineer Contractor, and why are they important?

To thrive as a Weekend Data Engineer Contractor, you need strong proficiency in data engineering principles, including ETL processes, database management, and programming languages like Python or SQL, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and relevant certifications (e.g., AWS Certified Data Analytics) is typically required. Strong problem-solving, effective communication, and the ability to work independently are crucial soft skills for this role. These skills and qualifications ensure high-quality, reliable data solutions are delivered efficiently during limited weekend hours, meeting project deadlines and client expectations.

What are some common challenges faced by Weekend Data Engineer Contractors, and how can they overcome them?

Weekend Data Engineer Contractors often encounter challenges such as limited access to stakeholders, tight turnaround times, and ensuring smooth handovers with weekday teams. To address these, clear documentation, proactive communication, and strong version control practices are essential. Working autonomously but staying aligned with the broader data engineering team helps ensure continuity and quality in deliverables.
What are popular job titles related to Weekend Data Engineer Contract jobs in Missouri? For Weekend Data Engineer Contract jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer Contract jobs in Missouri look for? The top searched job categories for Weekend Data Engineer Contract jobs in Missouri are:
What cities in Missouri are hiring for Weekend Data Engineer Contract jobs? Cities in Missouri with the most Weekend Data Engineer Contract job openings:
Infographic showing various Weekend Data Engineer Contract job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$118.60 - $157.14/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago


Inland Empire Health Plan rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

263rd of 306 rated insurance


Job description

Overview

What you can expect!

Find joy in serving others with IEHP! We welcome you to join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to anauthentic experience!

Under the direction of the Manager, Data Science, the Data Scientist II is responsible for modeling complex institutional problems, discovering insights, and identifying opportunities using statistical, algorithmic, mining and visualization techniques. Collaborating closely with Data Science Developers, this role partners with our business stakeholders to identify ways to augment and enhance our data in order to provide insight beyond what can be gleaned from the data we have today.

Commitment to Quality: The IEHP Team is committed to incorporate IEHP’s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.

Additional Benefits

Perks

IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.

  • Competitive salary
  • State of the art fitness center on-site
  • Medical Insurance with Dental and Vision
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development
  • Wellness programs that promote a healthy work-life balance
  • Flexible Spending Account – Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance
Key Responsibilities
  • Lead and drive cross-functional data science projects from beginning to end, which include building relationships with partner teams, framing and structuring questions, collecting, and analyzing data.
  • Apply descriptive and predictive analytics to help drive insights and business decisions.
  • Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights.
  • Work with data engineering and data solutions teams to ensure proper data tracking is set up for features and support debugging and development of new ETL processes.
  • Build deep-dive analyses and eventual machine learning models to better forecast risk across the portfolio for our contracts and claims activity.
  • Support business operations, finance, quality systems, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies.
  • Manage tests for specific providers and generate data to build out case studies and messaging strategies.
  • Designs experiments, test hypotheses, and build models.
  • Conducts data analysis and create moderately complex algorithms.
  • Work with Institute stakeholders to identify the business requirements and the expected outcomes.
  • Work with and alongside business analysts by suggesting other products of interest to the client.
  • Models and frames business scenarios that are meaningful and which impact on critical business processes and/or decisions.
  • Collaborate with Institute subject matter experts to select the relevant sources of information.
  • Recommend ongoing improvements to methods and algorithms that lead to findings, including new information
  • Provide on-going tracking and monitoring of performance of decision systems and statistical models.
  • Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written formats.
  • Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new solutions, features, policies, and models.
  • Demonstrate a commitment to support IEHP’s strategic priorities to become a 5-Star Health Plan and incorporate LEAN principles into daily work.
  • Ensure the privacy and security of PHI (Protected Health Information) as outlined in IEHP's policies and procedures relating to HIPAA compliance.
  • Perform any other duties as required to ensure Health Plan operations and department business needs are successful.
Qualifications Education & Requirement
  • Minimum of four (4) years of experience in analytics, data science, and business intelligence
  • Experience in developing algorithms, predictive analytics, or statistical models and using statistical packages are required
  • Experience in analyzing large data sets that have complex (i.e., unstructured, structured, and semi-structured) designs is also required
    • Experience in the areas of medical or health services is preferred
  • Bachelor’s degree in a related field or any non-related field along with a certification in data science from an accredited institution is required
Key Qualifications
  • Strong understanding of Machine Learning theory with significant applied experience
  • Familiarity with basic principles of distributed computing and/or distributed databases
  • Knowledge of one or more business/functional areas
  • Excellent interpersonal and communication skills
  • Strong analytic and critical thinking skills. In addition to advanced analytic skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized databases, and computing environments, and communicating results
  • Strong written and verbal communication skills. Excellent interpersonal/ communication skills
  • Strong scientific Python skills using pandas, scikit-learn, and statistical models, as well as strong understanding of model deployment patterns
  • Proven ability to facilitate cross-functional projects that depend on the contributions of others in a variety of disciplines
  • Ability to multi-task while maintaining careful attention-to-detail
  • Ability to handle multiple projects, data input, and strong problem-solving capability
  • Proven ability to manipulate large datasets and use database and general-purpose programming language (such as Hadoop MapReduce, Python, JavaScript, or other big data frameworks, Java)
  • Demonstrable ability to quickly understand new concepts-all the way down to the theorems- and to come out with original solutions to mathematical issues
  • Ability to build relationships and influence across the organization
  • Independent self-starter who is driven to success, takes great pride in accomplishments, and works with a sense of urgency to meet deadlines and address competing priorities

Start your journey towards a thriving future with IEHP and applyTODAY!

Work Model Location

This position is on a hybrid work schedule. (Monday & Friday - remote, Tuesday – Thursday onsite in Rancho Cucamonga, CA.)

Should be willing to be on-call occasionally to attend to technical issues outside of normal business hours

Pay Range

USD $118,601.60 - USD $157,144.00 /Yr.

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