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Manager Data Analytics Engineer Jobs in Fairfield, IA

Job Title Maintenance Reliability Engineer - Foundry Operations Reports To Maintenance Manager ... Experience with CMMS systems and reliability data analysis * Proven ability to lead RCFA and drive ...

Job Title Maintenance Reliability Engineer - Foundry Operations Reports To Maintenance Manager ... Experience with CMMS systems and reliability data analysis * Proven ability to lead RCFA and drive ...

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Manager Data Analytics Engineer information

See Fairfield, IA salary details

$38.8K

$113.1K

$154.8K

How much do manager data analytics engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager data analytics engineer in Fairfield, IA is $113,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,900.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What job categories do people searching Manager Data Analytics Engineer jobs in Fairfield, IA look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Fairfield, IA are:

What cities near Fairfield, IA are hiring for Manager Data Analytics Engineer jobs?

Cities near Fairfield, IA with the most Manager Data Analytics Engineer job openings:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

Job SummaryKey Deliverables and Responsibilities

As a Principal Data Engineer, you will serve as a hands-on technical leader responsible for designing, building, and optimizing Cambridge's modern data platform. You'll help define data architecture standards, lead engineering efforts, mentor team members, and drive scalable data solutions that support enterprise analytics and business initiatives.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines supporting enterprise reporting, analytics, and business applications.

  • Build and optimize ETL/ELT solutions using modern cloud-based technologies.

  • Design and implement data integration solutions utilizing Azure Data Factory (ADF), Azure Functions, and other Azure services.

  • Develop and maintain datasets within Snowflake and Azure Data Lake Storage (ADLS) environments.

  • Lead data platform architecture initiatives, including data modeling, ingestion, transformation, storage, and consumption patterns.

  • Drive performance tuning and cost optimization efforts across cloud data platforms and processing workloads.

  • Design secure, reliable data movement solutions using batch and streaming integration patterns.

  • Establish engineering best practices, code reviews, and architectural standards.

  • Mentor data engineers and provide technical leadership across projects.

  • Partner with analytics, product, and business stakeholders to deliver scalable, high-quality data solutions.

What We Are Looking For
  • 8+ years of experience in data engineering, data architecture, or related technical roles.

  • Strong hands-on experience with:

    • Snowflake (SQL)

    • Azure Data Factory (ADF)

    • Azure Data Lake Storage (ADLS)

    • Azure Functions

    • Data Pipeline Development

    • ETL / ELT Design and Implementation

    • Performance Tuning

    • Cloud Cost Optimization

    • Python

  • Strong SQL development and data modeling expertise.

  • Experience designing scalable data integration and analytics solutions in Azure.

  • Knowledge of modern data architecture patterns and best practices.

Preferred Qualifications

  • Experience with Bronze/Silver/Gold (Medallion) architecture patterns.

  • Experience with Change Data Capture (CDC) and streaming platforms.

  • Experience with data governance, lineage, and metadata management.

  • Knowledge of financial services, wealth management, or highly regulated industries.

Location: Phoenix, AZ, or Fairfield, IA - Hybrid in-office 3 days/week

Why Cambridge?

Cambridge has competitive benefits and promotes a work/life balance to encourage individual success.

  • Premium benefit package including medical, vision, dental, life and long-term disability insurance

  • Vacation/sick time

  • 401K retirement plan with company matching program

  • Eleven paid holidays

You can find more details about our comprehensive benefits packagehere.

Company Overview:

At Cambridge, our purpose is simple: to make a difference in the lives of our financial advisors, their clients, and our associates. Founded in 1981, we have 45 years of experience supporting independent financial advisors with industry-leading tools, compliance, and transition services. Guided by our core values-integrity, commitment, flexibility, and kindness-we put financial advisors first in every decision we make.

Cambridge is an internally controlled, growth-focused independent broker-dealer, ranked among the largest and fastest-growing firms in the industry. With home offices in Fairfield, Iowa, and Phoenix, Arizona, and a nationwide reach, our 900 associates maintain a 4:1 advisor-to-associate ratio to ensure personalized service.

Our community of over 4,000 producing financial advisors includes diverse business models-RIA, corporate RIA, hybrid, fee-only, and brokerage-and offers a broad selection of investment solutions with no proprietary products.

For further information about Cambridge, please visit https://www.joincambridge.com/