Data Engineer II

Honeywell Aerospace; Phoenix (AZ); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

Dental

Vision

Life Insurance

Disability

401(k) match

FSAs

HSAs

Parental Leave

Paid Time Off

Paid Holidays

Job summary

Honeywell Aerospace is seeking a Data Engineer II to design and optimize data pipelines that deliver timely financial data across systems. You will collaborate with Finance stakeholders to translate requirements into reliable data products and maintain scalable, auditable ETL/ELT workflows.

Responsibilities include building Snowflake pipelines, using SQL and Python in Dataiku and Databricks, and enabling Tableau analytics with performant views while upholding data governance and security

Qualifications

• 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.

Responsibilities

• Build and maintain ELT/ETL pipelines that ingest data from varied sources into Snowflake; ensure reliability, observability, and recoverability.
• Develop transformations using SQL and Python within Dataiku and Databricks to produce trusted finance data marts and tables.
• Automate and orchestrate workflows in Dataiku/Databricks; implement robust logging and monitoring.
• Enable Tableau analytics by publishing performant Snowflake views and semantic layers; optimize query patterns for dashboards.

Skills

Advanced SQL

Python

Data modeling

Stakeholder collaboration

Data governance

Education

Bachelor’s degree in CS or related field

Tools

Dataiku

Databricks

Snowflake

Tableau

GitHub Actions

Azure/AWS/GCP

Job description

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.

Qualifications

YOU MUST HAVE

• US Citizen status
• 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.
• Background in finance domain concepts (GL, P&L, balance sheet, budgeting & forecasting).

Benefits Of Working For Honeywell Aerospace

In addition to a performance‑driven salary, cutting‑edge work, and developing solutions side‑by‑side with dedicated experts in their fields, Honeywell Aerospace employees are eligible for a comprehensive benefits package. This package includes employer‑subsidized Medical, Dental, Vision, and Life Insurance; Short‑Term and Long‑Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.

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.

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.