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Elt Developer Jobs in Missouri (NOW HIRING)

Data Engineer

Saint Louis, MO · On-site

$110K - $133K/yr

Develop and maintain data models, ETL/ELT workflows, and orchestration logic within cloud data ... Exposure to DevOps principles, CI/CD pipelines, and version control * Familiarity with Agile or ...

Sr. AI Developer, Engineering

Kansas City, MO · On-site

$118K - $159K/yr

Partner with Data Engineering to manage ETL/ELT pipelines feeding reporting dashboards. Deployment & Orchestration * Build microservices and APIs that support multi-tenant scalability and environment ...

Lead Data Engineer

O Fallon, MO · Hybrid

$95K - $126K/yr

Architect and implement scalable ETL/ELT frameworks using Databricks, Apache Spark, Delta Lake, and ... Working knowledge of CI/CD, infrastructure-as-code, automated testing, Git/GitHub, and DevOps ...

$42 - $55.50/hr

You will shape engineering plans, lead architecture and code reviews, and help move data science ... ELT), batch processing, and streaming. * Experience with JavaScript or TypeScript and React for ...

New

Analytics Engineer I

Kansas City, MO · On-site +1

$111K - $134K/yr

Analytics Engineer I Location: Kansas City, MO (4 days in-office, 1 day remote) Experience Level ... Design, build, and manage data models and ELT/ETL pipelines to transform raw data into structured ...

$81K - $111K/yr

You will design production-grade ETL/ELT pipelines, analytical models, and cloud data workflows using modern engineering practices. The role combines hands-on data engineering with cloud ...

... engineering solutions using Databricks and Azure Data Factory (ADF). The role will focus on building optimized ETL/ELT pipelines, developing data transformation solutions using Python and SQL, and ...

Analytics Engineer I

Kansas City, MO · On-site +1

$111K - $134K/yr

Analytics Engineer I Location: Kansas City, MO (4 days in-office, 1 day remote) Experience Level ... Design, build, and manage data models and ELT/ETL pipelines to transform raw data into structured ...

Analytics Engineer I

Kansas City, MO · On-site

$111K - $134K/yr

Analytics Engineer I Location: Kansas City, MO (4 days in-office, 1 day remote) Experience Level ... Design, build, and manage data models and ELT/ETL pipelines to transform raw data into structured ...

Showing results 21-40

Elt Developer information

What is an ELT developer?

ELT Developers are professionals who specialize in designing, building, and maintaining data pipelines using the Extract, Load, Transform (ELT) process. They extract data from various sources, load it into a data warehouse or data lake, and then transform it within the storage system to support analytics and business intelligence. ELT Developers work with tools and platforms such as SQL, cloud data warehouses (like Snowflake or BigQuery), and ETL/ELT frameworks to ensure data is accurate, accessible, and well-structured for analysis.

How do ELT developers typically collaborate with data analysts and engineers on projects?

ELT Developers often work closely with data analysts to understand data requirements and ensure the transformed data meets analytical needs. They also partner with data engineers to design and optimize pipelines for efficient data extraction, loading, and transformation. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration. Clear communication and teamwork are essential, as ELT Developers serve as a bridge between raw data sources and actionable business insights.

What are the key skills and qualifications needed to thrive as an ELT developer, and why are they important?

To thrive as an ELT Developer, you need strong proficiency in database management, data warehousing concepts, and programming languages such as SQL and Python, often supported by a degree in computer science or a related field. Familiarity with ETL/ELT tools like Informatica, Talend, Apache NiFi, or cloud-based platforms such as AWS Glue and Azure Data Factory is typically required. Analytical thinking, problem-solving skills, and effective communication help you understand complex data requirements and collaborate with cross-functional teams. These skills and qualities are critical to ensure efficient, accurate data integration and transformation processes that support business intelligence and decision-making.

What is the difference between Elt Developer vs Data Engineer?

AspectElt DeveloperData Engineer
Required CredentialsBachelor's in CS or related field, knowledge of XML, XSLT, scriptingBachelor's in CS, experience with databases, programming, ETL tools
Work EnvironmentContent management, language localization, data transformation projectsData pipeline development, large-scale data processing, infrastructure setup
Employer & Industry UsageTech companies, localization firms, e-learning providersFinance, healthcare, tech firms managing big data

While both roles involve working with data, Elt Developers focus on language data transformation and localization tasks, whereas Data Engineers build and maintain data pipelines for large-scale data processing. The roles share some technical skills but differ in scope and industry focus.

What cities in Missouri are hiring for Elt Developer jobs?

Cities in Missouri with the most Elt Developer job openings:

Visualization Engineer - Mid (Saint Louis, MO or Springfield, VA)

Saint Louis, MO • On-site

$85K - $140K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 21 days ago

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Job description

Position: Visualization Engineer

Location: Springfield, VA or Saint Louis, MO (On-Site)


At Pinnacle Business Strategies, our greatest asset is our team. We are a people-first, mission-driven organization built on a simple philosophy: when we invest deeply in our teammates, exceptional results naturally follow. We don't just talk about supportive culture; we live it by providing continuous learning opportunities and supporting your long-term career growth. When you join our team, you are not just taking a job; you are joining a collaborative community of top talent.


Our daily work is fueled by a shared commitment to making a tangible impact. At ⁠Pinnacle Business Strategies, LLC, our mission is to empower organizations to achieve exceptional performance through innovative strategies and technology solutions. Together, we bring an entrepreneurial mindset to align cutting-edge technology, IT integration, and geospatial analytics to help solve complex challenges. If you are looking for a dynamic workplace that values your unique contributions and actively champions your development, Pinnacle is the place to build your future.


The Data Engineer is responsible for designing, developing, and maintaining enterprise data pipelines, dashboards, and visualization solutions that support operational monitoring, analytics, and decision-making. This role works with enterprise monitoring platforms, cloud technologies, databases, APIs, and automation tools to collect, transform, and visualize operational data while ensuring data quality, reliability, and scalability. The ideal candidate has strong experience with Python, SQL, cloud-based data engineering, ETL/ELT processes, and data visualization, along with the ability to communicate technical findings to both technical and non-technical stakeholders.


Responsibilities

  • Work with enterprise monitoring tools including Grafana, Prometheus, and ServiceNow to integrate operational events, service impacts, and system metrics into dashboards and visualizations.
  • Quickly learn and apply new enterprise monitoring, visualization, analytics, and data platforms as business needs evolve.
  • Design, build, and maintain interactive dashboards, reports, charts, and visualizations that communicate operational performance and actionable insights.
  • Translate monitoring and analysis results into meaningful operational metrics that support decision-making.
  • Collect, clean, transform, and organize data from SQL/NoSQL databases, APIs, streaming services, and flat files to ensure accuracy, consistency, and reliability.
  • Build, maintain, and optimize ETL/ELT pipelines and data ingestion workflows for centralized data repositories and reporting.
  • Implement data validation and quality checks to maintain data integrity across data platforms.
  • Develop scripts and automation to streamline repetitive tasks and improve operational efficiency.
  • Investigate and troubleshoot data pipeline, observability, monitoring, and reporting issues independently and collaboratively.
  • Collaborate with stakeholders, managers, analysts, and technical teams to translate business requirements into scalable data solutions.
  • Maintain documentation for data systems, workflows, and business rules.
  • Utilize Git for version control and follow established development best practices to support reliable deployment and maintenance of data solutions.
  • Present technical findings to both technical and non-technical audiences.
  • Collaborate with team members and share knowledge of tools, processes, and best practices.
  • Analyze large datasets to identify trends, anomalies, and opportunities for operational improvement.
  • Apply data modeling and data storytelling techniques to transform raw data into actionable insights.
  • Perform other duties as assigned.


Required Qualifications

  • High School Diploma or GED equivalent with 8+ years of relevant experience OR:
  • Associates degree and 6+ years experience OR:
  • Bachelors Degree and 4+ years experience
  • Experience designing and maintaining ETL/ELT pipelines.
  • TS/SCI security clearance
  • Successfully pass background and drug screening


Preferred Qualifications:

  • Experience designing and developing dashboards, reports, and data visualizations using tools such as Grafana, Power BI, Tableau, Kibana, or similar platforms.
  • Experience automating data workflows using Apache Airflow or similar orchestration tools.
  • Experience with cloud platforms and services such as AWS (S3, Lambda, Glue), Azure Data Factory, or Google BigQuery for data storage, processing, and orchestration.
  • Familiarity with secure, scalable, and cost-effective cloud data solutions.
  • Familiarity with CI/CD practices in data engineering environments.


Knowledge, Skills, and Abilities:

  • Strong knowledge of cloud environments (AWS, Azure, or GCP).
  • Familiarity with data warehousing, data modeling, and version control systems (e.g., Git).
  • Excellent analytical, organizational, and communication skills.
  • Proficiency in Python, SQL, and working with RESTful APIs.
  • Ability to work independently and yet be effective within a team setting
  • Must be capable of managing multiple efforts with time-related constraints in a fast-paced contracting environment
  • Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals
  • Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others.
  • Excellent skills in Microsoft Word, Excel, and other Office applications
  • Proficient with Microsoft Office Applications, and experience working in a home office setting as well as the ability to train end users on frequently asked technical issues.
  • Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience strongly desired.
  • Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it.