Sr Data Engineer

Sr Data Engineer - Contract - Newark, NJ / Hybrid - $69.42 - $69.42/hr.

The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.

Applicants must be legally authorized to work in the United States. Sponsorship not available.

Our client is seeking a Sr Data Engineer in Newark, NJ / Hybrid.

Responsibilities

We are seeking a hands-on Senior Data & Analytics Engineer to design, build, and operate scalable Microsoft Fabric-based analytics platforms that power enterprise marketing analytics, customer insights, and business intelligence.
This role is not theoretical-you will be deeply involved in data ingestion, transformation, Lakehouse modelling, semantic layer design, Power BI optimization, and production-grade pipeline orchestration.
You will partner closely with marketing, growth, product, and business stakeholders to translate analytical requirements into governed, high-performance data products.
Data Platform & Fabric Engineering
Design and implement end-to-end data pipelines using Microsoft Fabric (Data Factory, Data Engineering, Lakehouse).
Build and maintain Fabric Lakehouse architectures (Bronze/Silver/Gold) optimized for marketing and BI use cases.
Implement incremental loads, CDC patterns, and data freshness strategies for large-scale analytical datasets.
Optimize storage formats (Delta/Parquet), partitioning, and performance tuning in Fabric.
Data Engineering & Transformation
Develop robust data transformation logic using: PySpark / Spark SQL, SQL-based transformations
Perform data cleansing, standardization, enrichment, and deduplication across multiple marketing and customer data sources.
Implement data quality checks, validation rules, and anomaly detection within pipelines.
Maintain reusable transformation frameworks and shared data assets.
Marketing & Business Data Integration
Ingest and model data from marketing and customer platforms such as: Digital analytics (web, app, events), Campaign platforms (email, paid media, CRM, CDPs), Internal business systems (sales, finance, operations)
Create conformed dimensions and fact tables for marketing performance, attribution, funnel analysis, and customer insights.
Enable cross-channel reporting and identity-aware analytics.
Power BI & Semantic Modelling
Design and optimize Power BI semantic models (datasets) for enterprise reporting.
Build star schemas, calculation groups, and optimized DAX measures.
Ensure report performance, scalability, and refresh reliability.
Support self-service BI while enforcing enterprise data governance standards.
Collaborate with analysts and business users on dashboard requirements and usability.
Governance, Security & Operations
Implement workspace strategies, environment separation (Dev/Test/Prod), and deployment pipelines in Fabric.
Enforce data access controls, row-level security (RLS), and sensitivity labels.
Establish monitoring, logging, and alerting for pipeline health and data reliability.
Document data models, pipelines, and operational runbooks.
Participate in on-call or production support rotations as needed.
Collaboration & Leadership
Act as a technical mentor for junior engineers and analysts.
Influence data architecture decisions and analytics best practices.
Work closely with product managers, marketing leaders, and BI teams to prioritize and deliver high-impact data products.
Contribute to standards for data modelling, naming conventions, and pipeline design.
8+ years of experience in data engineering / analytics engineering roles.
Strong hands-on expertise with Microsoft Fabric: Lakehouse, Data Factory, Data Engineering (Spark), Workspaces and deployment pipelines
Advanced SQL skills and experience with large analytical datasets.
Strong experience with Power BI: Semantic models, DAX, Performance optimization
Proficiency in PySpark or Spark SQL.
Data Engineering Fundamentals
Deep understanding of: Data modelling (star/snowflake schemas), ETL / ELT design patterns, Incremental processing and CDC, Data quality and validation frameworks
Experience operating data platforms in production environments.
Experience supporting marketing analytics, customer analytics, or growth analytics.
Strong stakeholder communication skills-able to translate business questions into data solutions.
Comfortable working in agile, fast-moving environments with evolving requirements.
Experience with enterprise marketing stacks (CDPs, CRM, campaign tools).
Familiarity with data governance frameworks and privacy-aware data design.
Experience migrating from legacy BI platforms to Microsoft Fabric.
Exposure to CI/CD concepts for data platforms.
Azure ecosystem experience beyond Fabric (Synapse, ADLS, etc.).
Reliable, well-governed Fabric Lake houses powering business-critical dashboards.
High-performing Power BI reports used daily by marketing and leadership teams.
Reduced data latency and improved trust in analytics.
Clear documentation and reusable data assets.
Strong collaboration between engineering, analytics, and business users.

Benefits/Other Compensation

This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.

Nervous about an upcoming interview? Unsure how to write a new resume?

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Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.

In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text .

Drug testing may be required; please contact a recruiter for more information.

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