Data Engineer II
Indexed description
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.
- 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.
- 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).
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 or have the ability to obtain an export authorization.
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.
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