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Data Engineer

ASCENDO RESOURCES
Miami, FL, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$100,000.0 - $120,000.0
Working hours
Regular working hours
Job source
indeed.com

Tech stack

Application Programming Interfaces (APIs) Microsoft Azure Batch Processing Information Engineering Data Governance Extract Transform Load (ETL) Power BI Cloud Services Standard Sql SQL Databases SQL Server Reporting Services Microsoft Power Automate
+4 more
Snowflake Integration Frameworks Data Pipelines Serverless Computing

Job description

The Data Engineer is responsible for building and maintaining enterprise data integrations, and modernizing reporting from SSRS to Power BI. This role focuses on delivering reliable data pipelines, improving data quality, and enabling scalable, self-service analytics while supporting business operations and compliance requirements.

Requirements

Do you have experience in SQL?, * 3+ years of experience in data engineering, analytics engineering, or related role

  • SQL skills and experience building ETL/ELT pipelines
  • Experience with Power BI (datasets, DAX, dashboards)
  • Familiarity with cloud data platforms (Snowflake, Azure, or similar)
  • Understanding of data integration patterns (APIs, files, batch processing)
  • Preferred Qualifications - PLUS
  • Experience with Azure Functions, Logic Apps, or similar integration tools
  • Exposure to data governance, lineage, or catalog tools (e.g., Purview)
  • Converts legacy SSRS reporting into modern Power BI analytics

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · WWC Europe 2026

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

1:56 min

Creating immutable blockchain tables using standard SQL syntax

Wei Hu Wei Hu · WWC 2023

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

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Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
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Europe 2026 Virtual • about 1 month ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

How building an industry DBMS differs from building a research one thumbnail
30:34
WWC 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

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31:15
WWC Europe 2026 • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Enjoying SQL data pipelines with dbt thumbnail
26:53
WWC 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

How Cisco embraced a DevOps culture within its network engineering team thumbnail
39:38
LIVE • over 5 years ago

How Cisco embraced a DevOps culture within its network engineering team

Stuart Clark

Beyond SQL Generation: How to Teach Agents What Your Database Actually Means thumbnail
12:42
WWC Europe 2026 • about 1 month ago

Beyond SQL Generation: How to Teach Agents What Your Database Actually Means

Celeste Horgan

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