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Associate Data Engineer Jobs in Peck, KS (NOW HIRING)

Analyzes data and applies to product designs. * Supports team members and helps ensure that ... Associate's Degree accepted, Bachelor's of Science in Electrical Engineering (BSEE) preferred.

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Associate Data Engineer information

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$8

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How much do associate data engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for associate data engineer in Peck, KS is $16.51, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $17.60 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What cities near Peck, KS are hiring for Associate Data Engineer jobs?

Cities near Peck, KS with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Peck, KS as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $34,341 per year, or $16.5 per hour.

AI & Data Platform Engineering Manager

Wichita, KS • On-site

Sierra Nevada Corporation
Guided Missile and Space Vehicle Manufacturing • 5 - 10K employees

$189K - $260K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

The AI/ML Engineering Manager II leads multiple AI/ML teams or a larger engineering organization. This role provides strategic technical oversight, ensures scalable development of complex ML systems, and drives alignment between engineering efforts and mission-critical program requirements.As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Responsibilities:

  • Lead the AI/LLM Platform and MLOps engineering team delivering the enterprise AI platform.
  • Provide deep technical guidance on LLM and generative AI architectures, including the LLM gateway, model routing, and agent/workflow orchestration.
  • Oversee integration of ML models and AI capability into enterprise systems and business platforms.
  • Establish strong validation, verification, and compliance processes.
  • Manage resourcing, budgeting, schedules, and risk mitigation.
  • Mentor senior engineers and technical leads.
  • Drive AI/LLM platform capability development and own the long-term technical roadmap for the platform.

Qualifications You Must Have:

  • Bachelor's degree in computer science, mathematics, statistics, engineering, or related STEM field.
  • 6-8+ years of experience in AI/ML or software engineering, including 2+ years in a management role.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 13 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Demonstrated success leading engineering teams and delivering complex technical programs.
  • Expertise in generative AI/LLM techniques; familiarity with supervised and unsupervised ML for data platform use cases.
  • Experience architecting and optimizing ML pipelines and highperformance systems.
  • Strong understanding of security, compliance, and data governance requirements (CMMC, data classification)
  • Ability to drive cross-functional execution across software, data, and business platform teams.
  • AWS Machine Learning Specialty, Google Professional ML Engineer, or Azure AI Engineer Associate, or equivalent hands-on experience with a major cloud AI/ML platform.
  • CMMC/NIST SP 800171 awareness or equivalent compliance training.

Qualifications We Prefer:

  • Degree in AI/ML, data science, engineering, or related discipline.
  • AWS Solutions Architect (Associate or Professional) or Azure Solutions Architect Expert.
  • Databricks ML Professional, Snowflake SnowPro, or comparable data engineering certifications.
  • Advanced Generative AI or MLOps certifications (DeepLearning.AI, NVIDIA DLI)
  • Experience with LLM gateways, vector databases, agent orchestration frameworks, or prompt evaluation tooling.
  • Experience building or operating an internal LLM gateway, model routing layer, or enterprise AI API platform

Essential Functions:

  • Lead multi-team engineering operations in a hybrid environment.
  • Participate in integration events, customer reviews, and working groups.
  • Travel up to 20% for program execution and external coordination.
  • Provide technical escalation support for complex ML challenges.

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

Estimated Starting Salary Range: $189,761.74 - $260,922.39. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.

SNC offers annual incentive pay based upon performance that is commensurate with the level of the position.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.


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