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Remote Azure Data Engineer Jobs in Parsippany, NJ

Splice

Data Engineer II (Remote US)

New York, NY · Remote

$125K - $150K/yr

Data Engineer II LOCATION: REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team and help scale the platform that powers creator payouts, revenue reporting ...

Independence Pet Group

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Remote | Hybrid - United States; Chicago, New York, or Columbus, OH ain Responsibilities: * Design, build, and scale cloud-based data platforms and pipelines (batch and streaming) to support ...

DailyPay

Data Engineer II

New York, NY · Remote

$120K - $140K/yr

The Data Engineering Team is responsible for building the data infrastructure that underpins our ... AWS, Azure, GCP) * Experience working with large volumes of data, making models performant and ...

Talkspace

Senior Data Engineer

New York, NY · Remote

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... Flexible PTO and Remote First Environment * Regular team events, including Wellness Workshops and ...

Beam Impact

Senior Data Engineer

New York, NY · On-site +1

$176K - $198K/yr

About the role As a Senior Data Engineer on our Engineering team with a focus on data development ... See a full list of perks at Location - Remote We are a remote-first company, so our team works from ...

Regard

Data Engineer

New York, NY · Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and infrastructure that turn raw data into the metrics and insights that drive our product decisions and research. We ...

Texture

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

You will work with both structured and unstructured data, ensuring high data quality and availability for complex analysis by data scientists, engineers, and other stakeholders. Who we are looking ...

1 point system

GCP Data Engineer

New York, NY · Remote

$117K - $140K/yr

This is going to act as a tech lead/principal engineer within the Rebate Data Warehouse team. Why is req open? * Backfill for someone who had left - this has been a gap for a few months now * Help ...

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All JobsAzure Data Engineer JobsRemote Azure Data Engineer JobsRemote Azure Data Engineer Jobs in Parsippany, NJ

Remote Azure Data Engineer information

See Parsippany, NJ salary details

$44.8K

$130.5K

$178.5K

How much do remote azure data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote azure data engineer in Parsippany, NJ is $130,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $138,300.00 per year, depending on experience, location, and employer.

What is a remote Azure Data Engineer?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote Azure Data Engineer?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are some common challenges a remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What are popular job titles related to Remote Azure Data Engineer jobs in Parsippany, NJ?

For Remote Azure Data Engineer jobs in Parsippany, NJ, the most frequently searched job titles are:

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Remote Azure Data Engineer jobs near you
Infographic showing various Remote Azure Data Engineer job openings in Parsippany, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,451 per year, or $62.7 per hour.

Data Engineer II (Remote US)

Splice

New York, NY • Remote

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

WHO WE ARE:  

Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators.

HOW WE WORK:  

At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us.
Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers.
When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready?

JOB TITLE: Data Engineer II 
LOCATION: REMOTE- US


THE ROLE: 

We're looking for a Data Engineer II to join Splice's Data Engineering team and help scale the platform that powers creator payouts, revenue reporting, and product analytics across Splice's product lines.

Data Engineering builds and maintains the reliable foundation that makes trusted data possible, enabling teams across Splice to work from a governed, consistent source of truth. We are accountable for the warehouse and pipeline foundation; ingestion, transformations, and the standards and quality guardrails that keep data consistent, timely, and usable. This is a mid-level, high-ownership role: engineers here carry features from technical design through delivery, monitoring, and documentation, and participate in our on-call rotation.

The work requires hands-on data engineering experience. Our stack; BigQuery, SQLMesh, Python, Dagster- is distinct from Splice's web engineering stack, and effective contribution requires domain expertise in data pipeline systems, not general software engineering background.

TEAM INFORMATION: 

You'll be joining Splice's Data Engineering team, a small, embedded platform team responsible for the pipelines, transformations, and warehouse infrastructure the rest of the company depends on. Our systems support finance-critical processes (contributor payouts, GAAP revenue reporting), product analytics, and data reliability for customer-facing features like recommendations. We operate with a shared on-call rotation and a strong bias toward observable, well-documented, durable systems.

WHAT YOU'LL DO: 

Pipeline Development & Transformation

  • Build and maintain data models in SQLMesh, including incremental strategies, testing, and documentation
  • Continuously improve and evolve our orchestration and transformation infrastructure as the platform scales
  • Modernize legacy pipeline jobs in Python and SQLMesh, reducing technical debt over time

Reliability & Observability

  • Participate in on-call rotation; triage and resolve incidents including ETL failures, data unavailability, and core metric breakage
  • Build introspectable software: define alert thresholds, emit metrics and logs, produce dashboards, and establish closed-loop escalation paths
  • Improve observability across the platform so failures are caught early and resolved quickly

Finance & Revenue Pipelines

  • Extend and maintain pipelines powering creator payouts and GAAP-compliant revenue reporting across Splice's product lines
  • Build pipeline support for new revenue streams as Splice launches them

Platform Quality & Optimization

  • Improve query performance and reduce compute costs in BigQuery
  • Contribute to ingestion platform work and product analytics infrastructure
  • Uphold our definition of done: validation complete, documentation updated, monitoring in place before closing a ticket

JOB REQUIREMENTS:

  • 3+ years of hands-on data engineering experience in a production environment
  • Proficiency in SQL — window functions, CTEs, query optimization, execution plan analysis
  • Proficiency in Python for pipeline logic, data transformation, and testing (maintainable code, not just scripts)
  • Experience with a modern transformation framework — SQLMesh, dbt, or equivalent — including incremental models, testing, and documentation
  • Production experience with a cloud data warehouse (we use BigQuery); understands partitioning, clustering, and cost management
  • Experience with at least one workflow orchestrator (Dagster, Airflow, Prefect, or equivalent)
  • Demonstrated ability to build observable, reliable data systems — alerting, dashboards, and data quality checks
  • Comfortable owning small-to-medium features from technical design through delivery with limited guidance

SPLICE BENEFITS: 

  • Compensation & Equity: Competitive pay with annual reviews and equity opportunities.
  • Time Off: Unlimited PTO to recharge and thrive.
  • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents.
  • Retirement Savings: 401(k) plan with immediate vesting and company match.
  • Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents.
  • Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide.
  • Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities.
  • Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups.

The national pay range for this role is $94,952 - $118,690. Individual compensation will be commensurate with the candidate's experience.

Splice is an Equal Opportunity Employer 
Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.