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Weekend Data Engineering Jobs in Missouri (NOW HIRING)

Deloitte

Databricks Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

MFour Data Research

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Required : • 5+ years of data engineering experience with clear ownership of production pipelines -- not just contribution to them. You have shipped and operated multi-source data systems at scale ...

V-Soft Consulting Group, Inc

Data Engineer III

Saint Louis, MO · On-site

$108K - $130K/yr

Education and Experience * 7+ years of experience in Data Engineering or a related field. * Strong expertise in: SQL, Python, Apache Spark and Databricks. * Experience building and optimizing large ...

The Timberline Group

Data Analytics Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

The ideal candidate will be a strong technical resource with effective communication and leadership skills to be a member of data engineering team. The role requires collaboration with cross ...

Deloitte

Sr Databricks Data Engineer

Kansas City, MO

$111K - $134K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

Stifel

Data Engineer III

Saint Louis, MO · On-site

$111K - $133K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Pwc

Data Engineer - Senior Manager

Saint Louis, MO · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Omni Inclusive

Sr Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Data Engineering Skills Expertise in ETL/ELT pipelines, data modeling, and data integration across large datasets. Strong understanding of data warehousing and real-time data processing workflows.

Pwc

Data Engineer - Senior Manager

Kansas City, MO · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Sedgwick

Data Engineer AI

Kansas City, MO · On-site

$111K - $134K/yr

Work as a dedicated engineering partner to MLOps and Data Science teams to rapidly iterate on data requirements for evolving AI use cases. Qualifications • Education: Bachelor's degree in Computer ...

Sedgwick

Data Engineer AI

Saint Louis, MO · On-site

$111K - $133K/yr

Work as a dedicated engineering partner to MLOps and Data Science teams to rapidly iterate on data requirements for evolving AI use cases. Qualifications • Education: Bachelor's degree in Computer ...

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Weekend Data Engineering information

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

Will AI replace ETL?

AI can automate parts of the ETL (Extract, Transform, Load) process, improving efficiency and reducing manual effort for data engineers. However, human oversight is still essential for designing, monitoring, and troubleshooting complex data workflows, so AI is more of a complement than a complete replacement for ETL roles.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and tools such as Apache Spark and Hadoop enhance employability in this field.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
What are the most commonly searched types of Data Engineering jobs in Missouri? The most popular types of Data Engineering jobs in Missouri are:
What cities in Missouri are hiring for Weekend Data Engineering jobs? Cities in Missouri with the most Weekend Data Engineering job openings:
Weekend Data Engineering jobs near you

W2 Role - Data Engineer

Kanak Elite Services Inc

Saint Louis, MO • On-site

$111K - $133K/yr

Contractor

Posted 2 days ago

Job description

Only W2

Role:                            Data Engineer

Location:                     Hybrid St. Louis, MO and Mt. Sterling, IL

Duration:                     12 Months C2H

MOI:                            Video

Required

  • 3 years Data Engineer
  • 1+ years with Snowflake (Strongly Required 1+ year)
  • 3+ years Python
  • 1+ years Azure (or similar Cloud with AWS, GCP)
  • Mid-level candidate with mid-level year.
  • Bachelor’s degree

Desired

  • IBM Cloud
  • DataStage
  • DB2
  • watsonX.ai
  • Supply Chain

You’re analytical, a big picture thinker, and detail oriented. You’re a problem solver, and you’re able to present technical ideas to the business. You enjoy interacting with people and communicating across teams. If this sounds like you, Dot Foods wants you on our team.

As a Data Engineer, you will design, test, and maintain data pipelines for advanced analytics. You’ll transform complex datasets, ensuring alignment with strategic goals, and collaborate with IT and business experts to deliver crucial insights in adherence to information best practices.

Interview process is still a 30-min Teams call with me, then 1-hour technical call with panel, then 30-min interview with HM.

WHAT YOU’LL DO:

  • Automate data wrangling from a wide variety of sources (flat files, remote servers, databases, legacy systems, message queues, APIs and more).
  • Identify opportunities to improve system and business process efficiencies.
  • Cleanse/transform data in preparation for all levels of analytical use.
  • Leverage many technologies and methodologies as required—includes scripting and programming languages.
  • Assist in the preparation, deployment, and maintenance of machine learning/artificial intelligence data pipelines.
  • Work with vendors and consultants as appropriate.
  • Applies lean thinking and tools to identify and eliminate waste in all areas of the position.

YOU MUST HAVE:

  • Bachelor’s degree in applicable field.
  • 3+ years’ experience in: Applied SQL development, Data warehousing/analytics, and Data engineering/equivalency.
  • 1+ years’ experience with Snowflake.
    • Build and optimize Snowflake data warehouses.
    • Develop and maintain ETL/ELT pipelines in Snowflake.
    • Manage Snowflake security, governance, and performance.
  • Proficient in object-oriented concepts with experience in Python, Java, or C#.
  • Effective interpersonal skills, with positive professional verbal and written skills.

YOU MAY ALSO HAVE:

  • Bachelor’s degree in Business Analytics, Computer Science, Mathematics, Statistics, or related field.
  • Snowflake Data Engineer Certification.
  • Ability to work independently as well as within a team environment.
  • Effective project management and planning skills.

ROLE SPECIFICS:

  • Travel – Occasional overnight travel 1-3 nights per quarter for company meetings. Must have ability to travel independently as needed, without restriction by all modes of transportation, including car, plane, or train.
  • Schedule – ability to work flexible hours; may include evening & weekend hours as needed.