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Data Engineer With Jobs in Missouri (NOW HIRING)

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · On-site

$113K - $136K/yr

As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics ... Share expertise with the consulting team and offer best practices for client engagement, enhancing ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics ... Share expertise with the consulting team and offer best practices for client engagement, enhancing ...

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 ...

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a ... with analytics, data science, and business teams to define data requirements Monitor and ...

Kanak Elite Services Inc

Lead data engineer

Saint Louis, MO · On-site

$99K - $131K/yr

Strong experience with Spark, Python, Azure Data Factory, Alteryx/NiFi for ETL, Microsoft Graph ... engineer of the project team. Responsibilities: * Assists senior resources in the assessment ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site

$113K - $136K/yr

Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a leading Revenue ... with analytics, data science, and business teams to define data requirements • Monitor and ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... with analytics, data science, and business teams to define data requirements • Monitor and ...

Kanak Elite Services Inc

$109K - $130K/yr

If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume. Position : Data Engineer The candidate must be committed to move to St. Louis and live here 100% from ...

iQuasar LLC

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Data Engineer * Location: St. Louis, MO ( Onsite Mon-Fri) - Travel expenses will be paid ... Create data models and schemas that align with both source and target systems * Develop and ...

IQUASAR LLC

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Data Engineer * Location: St. Louis, MO ( Onsite Mon-Fri) - Travel expenses will be paid ... Create data models and schemas that align with both source and target systems * Develop and ...

Emprise Bank

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

The Data Engineer role is responsible for building and maintaining the data infrastructure that ... Ability to effectively build and maintain relationships with Emprise associates, vendors, and ...

New

Cushman & Wakefield

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Partner with PRI (Property Research & Intelligence), TDS (Technology Data Solutions), GIS ...

Cushman & Wakefield

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Partner with PRI (Property Research & Intelligence), TDS (Technology Data Solutions), GIS ...

Cushman & Wakefield

Data Engineer

Saint Louis, MO

$111K - $133K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Partner with PRI (Property Research & Intelligence), TDS (Technology Data Solutions), GIS ...

Cushman & Wakefield

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Partner with PRI (Property Research & Intelligence), TDS (Technology Data Solutions), GIS ...

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Data Engineer With information

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

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

To thrive as a Data Engineer, you need expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer With jobs in Missouri? For Data Engineer With jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Engineer With jobs in Missouri look for? The top searched job categories for Data Engineer With jobs in Missouri are:
Data Engineer With jobs near you

Lead Data Engineer

Futran Tech Solutions Pvt. Ltd.

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Re-posted yesterday

Job description

Job Title : Lead Data Engineer
Location: St. Louis, MO (Hybrid, 3 Days Onsite)
Must haves - Scala, PySpark, Databricks and AWS
Role Overview:
Team Focus: Supports critical data ingestion, streaming and model monitoring platforms that enable real time decisioning and fraud risk capabilities across Mastercard. The team contributes to enhancements & modernization. The main team focus right now is model monitoring, second is modernization of applications/legacy systems and third, leveraging AI tools.
High level overview: Engineer with experience in Scala, Python or Java, Big Data+ AWS/Databricks. Needs AI agent knowledge to create agents within the team to automate the processes
Core skills:
  • Data Engineering / Streaming Platforms (Kafka, real-time pipelines using scala/python, NIFI)
  • Big Data Platforms (Spark, Hadoop/Ozone, Hive or impala, AWS, Databricks, cloudera manager platform)
  • Production Support & Platform Reliability (using Splunk for monitoring, troubleshooting, performance tuning)
  • Strong SQL
  • AI agent knowledge

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