Senior Data Engineer - Bayforce - Remote | Dice.com

Bayforce

Apply Now

Senior Data Engineer

Remote • Posted 1 hour ago • Updated 1 hour ago

Contract W2

No Travel Required

Remote

Depends on Experience

Apply Now

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Fitment

Dice Job Match Score™

📋 Comparing job requirements...

Job Details

Skills

ELT
Extract
Transform
Load
Data Quality
Data Lake
Data Integration
Data Warehouse
Microsoft
Workflow
Data Architecture
Analytics
API
Cloud Computing

Summary

**NO 3rd Parties or Sponsorship!

Role Title: Senior Data Engineer

Duration: 1 year

Preferred Location: Remote based in ET or CT time zones

Role Description:
The Senior Data Engineer will play a pivotal role in designing, architecting, and optimizing cloud-native data integration and Lakehouse solutions on Azure, with a strong emphasis on Microsoft Fabric adoption, PySpark/Spark-based transformations, and orchestrated pipelines. This role will lead end-to-end data engineering from ingestion through APIs and Azure services to curated Lakehouse/warehouse layers while ensuring scalable, secure, well-governed, and well-documented data products. The ideal candidate is hands-on in delivery and also brings data architecture knowledge to help shape patterns, standards, and solution designs.

Key Responsibilities

Design and implement end-to-end data pipelines and ELT/ETL workflows using Azure Data Factory (ADF), Synapse, and Microsoft Fabric.
Build and optimize PySpark/Spark transformations for large-scale processing, applying best practices for performance tuning (partitioning, joins, file sizing, incremental loads).
Develop and maintain API-heavy ingestion patterns, including REST/SOAP integrations, authentication/authorization handling, throttling, retries, and robust error handling.
Architect scalable ingestion, transformation, and serving solutions using Azure Data Lake / OneLake, Lakehouse patterns (Bronze/Silver/Gold), and data warehouse modeling practices.
Partner with stakeholders to define solution approaches and provide architecture input (data flow design, integration patterns, target-state roadmap, and platform best practices).
Implement monitoring, logging, alerting, and operational runbooks for production pipelines; support incident triage and root-cause analysis.
Apply governance and security practices across the lifecycle, including access controls, data quality checks, lineage, and compliance requirements.
Write complex SQL, develop data models, and enable downstream consumption through analytics tools and curated datasets.
Drive engineering standards: reusable patterns, code reviews, documentation, source control, and CI/CD practices.

Requirements:

Bachelor's degree (or equivalent experience) in Computer Science, Engineering, or a related field.
5+ years of experience in data engineering with strong focus on Azure Cloud.
Strong experience with Azure Data Factory pipelines, orchestration patterns, parameterization, and production support.
Strong hands-on experience with Synapse (pipelines, SQL pools and/or Spark), and modern cloud data platform patterns.
Advanced PySpark/Spark experience for complex transformations and performance optimization.
Heavy experience with API-based integrations (building ingestion frameworks, handling auth, pagination, retries, rate limits, and resiliency).
Strong knowledge of SQL and data warehousing concepts (dimensional modeling, incremental processing, data quality validation).
Strong understanding of cloud data architectures including Data Lake, Lakehouse, and Data Warehouse patterns.
Demonstrated ability to troubleshoot and optimize complex data workflows in production environments.

Excellent communication and collaboration skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX161032
Position Id: 8828931
Posted 1 hour ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Lead/Sr. Data Engineer + AI

Remote or Massachusetts

•

Today

Role: Sr./ Lead Data Engineer + AI Location: Boston, MA - Remote Experience Needed: 10 Years to 15 Years For Lead/ 05 to 10 Years for Senior Need minimum 3 years of experience as Lead. About the role: We're looking for a Senior Data Engineer to build and scale our lakehouse and AI data pipelines on Databricks. You'll design robust ETL/ELT, enable feature engineering for ML/LLM use cases, and drive best practices for reliability, performance, and cost. What you'll do: Design, build, and main

Easy Apply

Contract

$DOE

Senior Azure Data Engineer with Power BI

Remote or Hybrid in Illinois

•

Today

Job Summary (List Format): - Role: Senior Azure Data Engineer with Power BI - Location: Chicago, IL (Hybrid/Remote) - Duration: Contract (C2C) - Total Experience Required: 10-12+ years Key Responsibilities: - Design, develop, and maintain data solutions using Azure cloud technologies (ADF, Synapse, Pyspark/Python) - Develop and implement ETL processes for data warehousing - Create and manage Power BI dashboards and reports - Understand and document design specifications and source-to-targe

Full-time, Part-time, Contract, Third Party

Senior Data Engineer (Remote)

Remote

•

Today

In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible. Job Description: Parsons is looking for an amazingly talented Senior Data Engineer to j

Full-time

USD 100,900.00 - 176,600.00 per year

Sr Snowflake Data Engineer (DBT/Fivetran) - Remote - 3-6 Months CTH - W2 Only

Remote

•

Today

Sr Snowflake Data Engineer Remote 3-6 Months CTH Job Summary We are looking for a hands-on Senior Data Engineer with expertise in developing data ingestion pipelines. This role is crucial in designing, building, and maintaining our data infrastructure, focusing on creating scalable pipelines, ensuring data integrity, and optimizing performance. Key skills include strong Snowflake expertise, advanced SQL proficiency, data extraction from APIs using Python and AWS Lambda, and experience with ETL/

Easy Apply

Contract

$70 - $80

Senior Data Engineer

Dice Job Match Score™

Dice Job Match Score™

Job Details

Skills

Summary

Similar Jobs

Dice Job Match Score™

Ginette Koeck