Back to results

Data Engineer II

  • Minneapolis, MN, United States
  • Phoenix, AZ, United States

$103,000 to $128,000 USD / year

Applications open in a new tab.

Job details

Pay
$103,000 to $128,000 USD / year
Experience
3–5 years of professional data engineering experience, including 2+ years with Snowflake (data modeling, SQL performance, warehouse administration)
Posting language
English
Posted

Original job description

As a Data Engineer II here at Honeywell Aerospace, you will play an essential role in developing and refining data pipelines that facilitate the accurate and efficient flow of information across various systems. Your efforts will be pivotal in enhancing the organization’s ability to access and utilize critical financial data seamlessly. Your primary focus will be on creating robust, scalable solutions that ensure the real-time delivery and automated processing of data from our diverse data sources to endpoint solutions. The role emphasizes collaboration with Finance stakeholders (not enterprise IT architecture) to translate business requirements into reliable, well-documented data products.

KEY RESPONSIBILITIES

  • Build and maintain ELT/ETL pipelines that ingest data from varied sources (financial systems, ERP/CRM, files, APIs) into Snowflake; ensure reliability, observability, and recoverability.
  • Develop transformations using SQL and Python within Dataiku (recipes, flows, scenarios) and Databricks (notebooks, Jobs, Delta Lake/Spark) to produce trusted, reusable finance data marts and subject-area tables.
  • Automate and orchestrate workflows (scheduling, dependency management, alerts) in Dataiku/Databricks; implement robust logging and monitoring.
  • Enable Tableau analytics by publishing performant Snowflake views and semantic layers; optimize query patterns (warehouses, micro-partitions, caching) to support dashboard performance and scalability.
  • Data quality and governance: implement validation rules, reconciliations/tie-outs to source systems, lineage documentation, and access controls; uphold standards for PII and financial data.
  • Requirement gathering & stakeholder collaboration: work directly with Finance/FP&A, Accounting, and business analysts to translate metrics (e.g., period close, variance analysis, forecasting) into data models and pipelines.
  • Performance tuning: leverage Snowflake features (e.g., Tasks, Streams, Dynamic Tables where appropriate), clustering strategies, and cost-efficient warehouse configurations.
  • Version control and CI/CD: manage code in Git, contribute reviews, unit/integration tests, and promote changes through dev/test/prod.
  • Process modernization: convert manual/Excel processes into automated, auditable pipelines; prototype utilities and frameworks in Python

YOU MUST HAVE

  • Must be a US Citizen due to contractual obligations
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or related field (or equivalent experience)
  • 3–5 years of professional data engineering experience, including 2+ years with Snowflake (data modeling, SQL performance, warehouse administration)
  • Advanced SQL and practical Python skills for data processing and automation

WE VALUE

  • Hands-on experience with Dataiku (flows, recipes, scenarios, plugins) and Databricks (Spark, Delta Lake, Jobs) for pipeline development and orchestration.
  • Experience preparing datasets for Tableau consumption; familiarity with semantic layers, live vs. extract strategies, and performance best practices
  • Demonstrated ability to partner with Finance/FP&A teams and translate business logic into reproducible data transformations
  • Strong documentation habits, communication skills, and commitment to data quality and operational excellence
  • Exposure to cloud platforms (Azure, AWS, or GCP) and data services; experience with secrets management and resource cost-optimization
  • Familiarity with Snowflake Streams, Tasks, and Dynamic Tables for incremental processing and near-real-time use cases
  • Experience with CI/CD (e.g., GitHub Actions/Azure DevOps), pytest/unit testing, and environment promotion
  • Knowledge of data governance (cataloging, lineage, roles/policies) and best practices for financial data controls

ABOUT US

Join a company that's reintroducing itself to the aviation community we've helped advance for more than a century. At Honeywell Aerospace (NASDAQ: HONA), we're launching as an independent, publicly traded aerospace and defense company built on a legacy of operational excellence and mission-focused execution. Our new brand identity pairs that heritage with real momentum, as we build technology that helps pilots navigate with confidence, aircraft operate more efficiently, and operators stay ahead of change. With our systems on board 90% of the world's aircraft, your work here has reach that's rare to find anywhere else. Focusing on our customers, investing in innovation, and building a culture of accountability and performance is how we're shaping what comes next. Every horizon. Every mission. Every day.

BENEFITS

Beyond a performance-driven salary, you'll work alongside dedicated experts on technology that's advancing aviation. As a Honeywell Aerospace employee, you're eligible for a comprehensive benefits package that includes:

  • Employer-subsidized medical, dental, vision and life insurance
  • Short-term and long-term disability coverage
  • 401(k) match, flexible spending accounts and health savings accounts
  • Employee assistance program and educational assistance
  • Parental leave and 12 paid holidays
  • Paid time off for vacation, personal and sick time

Explore your benefits: https://honeywellaerospacebenefits.com/

The annual base salary range for this position is $103,000 - $128,000. Please note that this salary information serves as a general guideline. Honeywell Aerospace considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations.

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status.

More about this job

Skills

  • Data engineering
  • Business intelligence
  • Decision making
  • Troubleshoot
  • Data warehousing
  • SQL
  • Database management systems
  • Data warehouse
  • Computer science
  • Data management
  • Problem solving
  • Apache Hadoop
  • Apache Spark
  • Apache Kafka
  • Programming languages
  • Python
  • Oracle Java
  • Scala
  • Regulatory compliance

Report this job

Get in touch
MovoJobs

Contact us