Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Technology
Data Engineer
Roseland, NJ

Find & Apply For Data Engineer Jobs in Roseland, New Jersey

Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.

Skip to job details
Now viewing: Data Engineer
Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Marlabs LLC

Data Engineer

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
82
out of 100
Average of individual scores

Were these scores useful?

Job Description

Senior Data Engineer / Power BI Developer -

Databricks Location:

ALPHARETTA, GA or Roseland, NJ (Hybrid) 12 Month Contract, possible to extend. Overview We are seeking a highly skilled Senior Data / Power BI Developer to transform complex data into scalable, interactive, and actionable business intelligence solutions. This role combines advanced Power BI development, data analysis, and hands-on experience working with Databricks, Python, SQL, and enterprise data platforms. The ideal candidate can manage the full analytics lifecycle-from gathering business requirements and analyzing source data to transforming datasets, developing semantic models, and delivering intuitive dashboards. This individual will help modernize fragmented reporting environments, reduce reliance on spreadsheets and manual processes, and provide stakeholders with trusted insights for operational and strategic decision-making. Success in this role requires someone who can bridge the gap between business stakeholders and technical teams while taking ownership of data quality, reporting usability, and long-term scalability. Required Qualifications 5+ years of experience in data analytics, business intelligence, Power BI development, or a related discipline.

Advanced hands-on experience with Microsoft Power BI, including:

Power BI Desktop and Power BI Service

DAX and Power Query

Semantic modeling and dimensional data modeling

Row-level security and workspace management

Report performance optimization

Refresh scheduling and deployment

Strong hands-on experience with Databricks, including:

Databricks notebooks

Databricks SQL

Delta Lake or lakehouse architecture

Data transformation and preparation

Integration with Power BI

Strong Python experience for data analysis, transformation, validation, and automation.

Experience using pandas and/or PySpark to work with large and complex datasets.

Advanced SQL skills, including complex joins, CTEs, aggregations, window functions, and query optimization.

Experience working with Snowflake, data lakes, cloud-based data platforms, or other enterprise data warehouses.

Experience integrating data from APIs, relational databases, enterprise applications, and flat-file sources.

Strong understanding of data modeling, data validation, KPI development, and reporting architecture.

Experience automating recurring reporting and data-preparation workflows.

Demonstrated ability to analyze data and communicate meaningful business insights.

Excellent stakeholder management, requirements-gathering, and presentation skills.

Ability to work cross-functionally with business, analytics, data engineering, and infrastructure teams. Preferred Qualifications Microsoft Power BI Data Analyst, Databricks, or related certifications.

Experience with Tableau, Grafana, or other data visualization platforms.

Experience with Azure data services, such as Azure Data Lake Storage, Azure Data Factory, or Microsoft Fabric.

Familiarity with CI/CD, version control, and deployment practices for Power BI and Databricks.

Experience modernizing large reporting environments and consolidating redundant dashboards.

Knowledge of data governance, metadata management, data lineage, and identity and access management.

Familiarity with machine learning, predictive analytics, or AI-enabled analytics capabilities.

Experience working in fast-paced enterprise, modernization, or digital-transformation environments.