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Data Engineer II
Aerospace
Minneapolis, MN · Phoenix, AZ
As a Data Engineer II here at Honeywell Aerospace, you will play a key role in designing, developing, and maintaining data pipelines and ETL processes to ensure the efficient and reliable…
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Radar Modes Lead Engineer
Aerospace
Torrance, CA · Redmond, WA · Phoenix, AZ
- $157,000 to $197,000 USD / year
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Experience with software and systems engineering processes, methodologies, and tools
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…you with a mentor – someone who’s eager to welcome you to BAE Systems and help you get connected to and settled into the BAE Systems…
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BAE Systems
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Education: Bachelor's degree in Computer Science, Information Systems, Cybersecurity, Engineering, or a related technical field (or an Associate degree with equivalent practical experience).
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The LaunchCode Foundation

Junior Data Engineer

St. Louis, MO, United States

From $25 USD / hour

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Job details

Pay: From $25 USD / hour
Experience: 1+ years of experience in data engineering or a related technical role.
Posting language: English

Original job description

Job Type: Contract to hire (starting with 3 month term)

Location: Hybrid in St. Louis, MO (4 days onsite, 1 remote)

Company: The name of our partner organization will be disclosed during the interview process. This is not a direct role with LaunchCode; it is a position through LaunchCode, working with one of our partner companies.

Disclaimer: We are unable to provide work sponsorship for this role. We are unable to consider candidates for this role who have a current or future work sponsorship need (this includes those holding extended OPT Visas).

The Junior Data Engineer serves as the critical link between IT infrastructure and day-to-day Client Team data needs. This role is equally responsible for proactive data stewardship - building, maintaining, and improving data systems - and responsive technical support when issues arise. The position sits within IT but is primarily oriented toward serving the Client Team, supporting vendor-managed data environments, internal SQL databases, and the tooling ecosystem that Client Team depends on.

Essential Responsibilities

Data Integrity, Maintenance, and Bulk Operations

• Maintain the ongoing accuracy and completeness of vendor-specific databases, including regular updates and integrity reviews.

• Support data ingestion efforts and ensure ongoing data quality within SQL environments.

• Execute bulk data changes in underlying systems on an agreed-upon cadence coordinated with client team leadership, owning the scheduling, communication, and execution of that cadence.

• Establish and maintain a QA or staging process prior to any bulk changes going live, including documentation of testing steps and sign-off requirements.

• Perform performance tuning and query optimization across shared database resources.

• Identify and resolve upstream data issues in coordination with relevant stakeholders, including portfolio data discrepancies and settlement timing inconsistencies.

Vendor and External System Coordination

• Serve as the primary point of contact for corrections and escalations related to vendor-owned source data.

• Conduct periodic integrity reviews of vendor data and proactively build automated or semi-automated checks to catch issues before they impact operations.

• Maintain working knowledge of vendor data structures and flag anomalies to internal teams and vendor contacts in a timely manner.

Systems Administration and IT Execution

• Manage SQL permissions, database creation, installation, and authentication across relevant environments.

• Own the technical execution of API layer setup and maintenance, including onboarding new data sources and managing data migrations.

• Coordinate with IT for installation and configuration of approved tools and software.

• Serve as the escalation point for access and permission issues requiring admin-level resolution.

Project Review, Validation, and Best Practices

• Review internally developed tools, scripts, and workflows for technical soundness, security, and data integrity prior to deployment.

• Serve as a knowledgeable resource for project planning and architecture decisions, including review of AI-assisted build plans and code outputs.

• Contribute to the development and documentation of internal technical standards and best practices.

Incident Response

• Serve as the first technical point of contact for data-related incidents, including vendor API failures, failed bulk operations, permission outages, or data corruption events.

• Acknowledge data-related incidents within the same business day and pursue resolution as quickly as circumstances allow, coordinating with IT for infrastructure-level escalations.

Documentation and Audit Trail Ownership

• Maintain clear documentation of all bulk changes, data corrections, vendor escalations, and schema modifications.

• Keep a living record of database structures, access permissions, and integration configurations.

• Ensure changes are traceable and reversible where possible.

Data Governance

• Apply sound data governance principles across all work, including consistent naming conventions, controlled access and permission hygiene, change management practices that protect data integrity, and appropriate handling of data when working with AI-assisted tools.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent professional experience.

• 1+ years of experience in data engineering or a related technical role.

• Proficiency in SQL and Python; experience with Microsoft Fabric ETL tools preferred.

• Hands-on experience with SQL Server, Snowflake, and MuleSoft.

• Familiarity with Power BI and Power Apps for analytics and internal tooling.

• Understanding of data modeling (dimensional and normalized), data warehousing, and pipeline orchestration.

• Experience with Palantir a plus.

• Strong written and verbal communication skills with the ability to collaborate across technical and non-technical teams.

• Must be authorized to work in the United States.

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More about this job

Skills

Computer science
Data engineering
SQL
Python
Microsoft SQL Server
Snowflake
MuleSoft
Microsoft Power BI
Power Apps
Data modelling
Data warehousing
Communication skills

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