Azure Data Engineer in St. Louis, MO

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

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Learning budget

Not verified

Verification

Not verified

Salary

$115K-$221K not verified - source not recorded; timestamp not recorded

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

50% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Azure Data Engineer in St. Louis, MO St. Louis, MO At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work: Azure Data Engineer with experience integrating data from both internal and external data sources to build a data processing system. Creates new pipelines and builds reusable components at scale to support reporting & analytics data products. Writes complex queries to transform raw data sources into accessible models by coding. Cleans, prepares, transforms, and optimizes data at scale for integration and consumption. Implements data management projects and restructures current web architecture. Solves complex data issues and performs root cause analysis to proactively resolve product issues. Owns the data pipeline and supports systems failures. Here's what you need: - Active Secret security clearance required - 3+ years of hands-on experience working with Azure cloud native technologies - 2+ years experience with developing

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