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Contract Data Engineering Jobs in Missouri (NOW HIRING)

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · On-site

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to ...

Stellar IT Group

Data Scientist

Saint Louis, MO · On-site

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering. What the client is ...

Capstone IT

Principal Data Engineer

Springfield, MO · On-site

The client is utilizing a contract engagement model to support an accelerated onboarding timeline and faster hiring process. Capstone IT is seeking a Principal Data Engineer to lead enterprise-scale ...

Jobgether

$88K - $106K/yr

Join a high-impact engineering team focused on modernizing large-scale data infrastructure and ... Fully remote work environment with flexibility to work from anywhere. * Competitive contract ...

New

Jobgether

$94K - $124K/yr

In this senior role, you will combine hands-on data engineering expertise with solution ... Fully remote contract opportunity for Europe-based professionals. * Opportunity to lead the ...

New

Stellar IT Group

Snowflake SME

Saint Louis, MO · On-site

Overview: Snowflake SME 100% Remote Contract Role Overview We are seeking a Snowflake Subject ... Collaborate with data engineers, analysts, and business stakeholders to define requirements.

Deloitte

Project - Data Engineer II

Kansas City, MO · On-site

$111K - $134K/yr

These solutions are powered by engineering for business advantage, transforming mission-critical ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Deloitte

Project - Data Engineer II

Saint Louis, MO · On-site

$111K - $133K/yr

These solutions are powered by engineering for business advantage, transforming mission-critical ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Radyant Inc.

Azure Cloud Engineer

Kansas City, MO · On-site

$54.25 - $72.50/hr

Multiyear Contract Security Clearance: [ship with Public trust / Secret / Top Secret -- Required] Responsibilities: We are looking for Azure Cloud Engineers with experience integrating data from ...

New

Kanak Elite Services Inc

Lead data engineer

Saint Louis, MO · On-site

$99K - $131K/yr

St. Louis, MO Onsite (Must be Local) Duration : Long term contract Note : Strong experience with ... engineering, operations, data science & Microsoft technical support to help implement the solution

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

Virtual Job Duration: 6 Months Contract Overview: We are seeking a Data Analyst with strong SQL and ... Note: This is not a Data Engineer role . Candidates must have a strong analytics and data ...

Equifax, Inc.

Data Management Analyst

Saint Louis, MO · On-site

... in Contract to Order system applications. What qualifications do you need * Bachelor's degree in Computer Science, Data Engineering, or equivalent experience in Equifax Internal processes ...

Inland Empire Health Plan

Data Scientist II

California, MO · On-site

$118.60 - $157.14/hr

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

New

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Contract Data Engineering information

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

What are the key skills and qualifications needed to thrive as a contract data engineer?

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.
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 are popular job titles related to Contract Data Engineering jobs in Missouri? For Contract Data Engineering jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Missouri look for? The top searched job categories for Contract Data Engineering jobs in Missouri are:
Contract Data Engineering jobs near you

Data Engineer - Multiple Positions

Koantek

Chesterfield, MO • On-site

$113K - $136K/yr

Contractor

Re-posted 12 days ago

Job description


Location: United States - Remote
Employment Type: Full-Time and Contract
Data Engineer
Description:
As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.
The impact you will have:
  • Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications.
  • Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation.
  • Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.
  • Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority.
  • Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation.
  • Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements
Minimum qualifications:
  • Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
  • Experience:
    • 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP).
    • Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects
    • Develop scalable streaming and batch solutions using cloud-native components.
    • Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies.
    • Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows.
  • Technical Skills:
    • Expert-level proficiency in Spark Scala, Python, and PySpark.
    • In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling.
    • Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce.
    • Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.
  • Databricks Specific Skills:
    • Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP).
    • Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration.
    • Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.
    • Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities.
  • Good to have Certifications:
    • Certification in Databricks Engineering (Professional)
    • Microsoft Certified: Azure Data Engineer Associate
    • GCP Certified: Professional Google Cloud Certified.
    • AWS Certified Solutions Architect Professional

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