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Hybrid Senior Software Engineer - Data & BI

Camden, NJ, US • Posted 2 hours ago • Updated 2 hours ago

Full Time

On-site

Depends on Experience

EDI Specialists, Inc.

Fitment

Dice Job Match Score™

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Job Details

Skills

DATA ENGINEER
SENIOR DATA ENGINEER
ANALYTICS ENGINEER
DATA & BI ENGINEER
CLOUD DATA ENGINEER
AZURE DATA FACTORY
ADF
DATABRICKS
AZURE DATABRICKS
PYSPARK
SPARK
AZURE DATA LAKE
DATA LAKE
LAKEHOUSE
PYTHON
SQL
ETL
ELT
DATA PIPELINE
DATA INGESTION

Summary

ROLE SUMMARY

The Sr. Software Engineer – Data & BI is responsible for designing, developing, and optimizing scalable cloud based data pipelines and analytics solutions using Azure Data Factory, Databricks, and Lakehouse architecture. This role works extensively with business partners across to understand their business processes, data needs, and operational challenges, and to translate those into high quality, secure, and scalable data solutions.
Although this position is primarily focused on data engineering, it also supports business intelligence initiatives by assisting in building basic Power BI dashboards, supporting said dashboards and ensuring data is structured and ready for reporting and decision making.

CORE RESPONSIBILITIES

Data Ingestion & Storage (ADF, Databricks)

Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory and Databricks.
Develop complex transformations and large‐scale processing using PySpark.
Integrate data from on‐prem Oracle systems, Dynamics CRM, connected vehicle telematics, APIs, and other sources.
Manage data layers within Azure Data Lake and Lakehouse structures.

Data Engineering & Modeling

Develop robust data models, schemas, and curated datasets optimized for analytics and BI.
Use Unity Catalog to maintain governance, security, and lineage.
Optimize data storage, query patterns, transformation logic, and pipeline reliability.
Collaborate with EDW and Data Science teams to ensure data readiness.

Business Collaboration & Requirements Gathering

Work closely and proactively with business partners to understand their processes, data challenges, and reporting requirements.
Translate business needs into technical data specifications and scalable engineering solutions.
Communicate technical concepts clearly to non‐technical stakeholders and provide recommendations based on best practices.
Participate in cross‐functional workshops, requirement sessions, and design discussions.

Data Integration & Governance

Harmonize data from disparate systems into unified, trusted datasets.
Ensure data quality, consistency, and reliability.
Contribute to enterprise data governance policies, processes, and frameworks.

Version Control & DevOps

Use GitHub for version control, code reviews, CI/CD pipelines, and release automation.
Adhere to established coding standards, branching strategies, and deployment best practices.

Business Intelligence Support

Build and maintain simple‐to‐intermediate Power BI dashboards and datasets.
Assist BI developers with data model optimization and dataset certification.
Partner with business teams to verify that data supports accurate reporting and KPIs.
Contribute to Power BI governance (naming conventions, refresh cycles, usage optimization).

ADDITIONAL RESPONSIBILITIES

Collaborate with cross‐functional teams (Data Science, EDW, Visualization, business units) to deliver end‐to‐end analytics solutions.
Troubleshoot data pipelines, infrastructure challenges, and performance bottlenecks.
Provide mentorship to junior engineers and foster a culture of collaboration and continuous improvement.

REQUIRED SKILLS & PERSONAL QUALIFICATIONS

Strong expertise with Azure Data Factory, Databricks, PySpark, and Azure Data Lake.
Experience with Lakehouse architecture and modern cloud-based engineering practices.
Proficiency in Python and SQL.
Experience integrating diverse data sources across cloud and on‐prem systems.
Solid understanding of BI concepts and interest in growing Power BI skills.
Exceptional collaboration and communication abilities, including working directly with business partners, gathering requirements, and mapping business processes to technical solutions.
Ability to explain complex data engineering concepts to non‐technical audiences.
Strong problem‐solving skills and ability to work effectively in a cross‐functional environment.

PREFERRED / IDEAL EXPERIENCE DESIRED

Beginner or intermediate experience creating Power BI dashboards.
Knowledge of DAX, dataset modeling, and Power Query.
Experience with Azure Synapse or Microsoft Fabric.
Familiarity with IaC tools (ARM Templates, Terraform).

EDUCATION & EXPERIENCE REQUIREMENTS: Bachelor''s degree in Computer Science, Information Systems, Engineering, or related field. 4 to 8 years of experience in data engineering, analytics engineering, or cloud data roles.

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: 10107595
Position Id: 26-00202
Posted 2 hours ago

Company Info

About EDI Specialists, Inc.

At EDI Staffing, we strive to provide the best staffing solutions for each of our business disciplines, in honest, resourceful, and creative techniques. Our mission is to connect talented people with great organizations across all industries, while maintaining our company values: accountability, innovation, integrity, teamwork and work ethic. Our commitment to our values becomes tangible in our daily customer interactions and lifetime customer relationships.

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