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Sr Databricks Data Engineer---W2---Remote

Symantrix Inc

Remote • Today

Easy Apply

Contract

$50 - $60

Senior Databricks Data Engineer - 1628

aKube Inc

Calabasas, California • Today

Full-time

USD 130,000.00 - 140,000.00 per year

Req:: Sr ETL Data Engineer _ Remote _ W2 Only

iFLOW

No location provided • Today

Easy Apply

Contract

W2 role | Sr. Azure Data Engineer

Global Digital Resources LLC

Charlotte, North Carolina • 21d ago

Easy Apply

Contract

Depends on Experience

Lead Azure Data Engineer with Azure Databricks, Snowflake Experience

Everest Technologies

Charlotte, North Carolina • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Senior Data Engineer - Databricks

Revature

Washington, District of Columbia • Today

Easy Apply

Full-time

Depends on Experience

Senior Cloud Engineer, Databricks Platform - Hybrid or Remote

Genesis10

Remote or Warren, New Jersey • Today

Easy Apply

Full-time

USD 75.00 - 85.00 per hour

Senior Data Software Engineer with Databricks

EPAM Systems

Remote • Today

Full-time

Senior Data Software Engineer with Databricks, dbt, Data Quality

EPAM Systems

Remote • Today

Full-time

Senior Consultant, Data Engineer (Databricks Experience)

Infinitive

McLean, Virginia • Today

Full-time

USD 90,000.00 per year

Senior Data Engineer / Databricks / AI / Chicagoland Area

Motion Recruitment Partners, LLC

Oak Brook, Illinois • Today

Easy Apply

Contract

$60 - $75

Sr. Associate Data Engineer (ETL / Databricks)

McKesson Corporation

Overland Park, Kansas • Today

Full-time

USD 80,300.00 - 133,900.00 per year

Senior Data Engineer (Databricks & Cloud Analytics

Judge Group, Inc.

Salt Lake City, Utah • Today

Contract

Compensation information provided in the description

Senior Data Engineer

Randstad Digital

Chicago, Illinois • Today

Full-time

USD148,000 - USD164,000

Senior Data Engineer (CFA level) - Toronto, ON / Montreal, QC / Boston, MA (Hybrid)

Epikso

Boston, Massachusetts • Today

Easy Apply

Contract

$$60/hr-$80/hr W2

Lead Data Engineer W2 Position

Tech Rakers

Remote • 6d ago

Easy Apply

Contract

Depends on Experience

Sr. Data Platform Consultant (Databricks)

Will-N-Able

Remote • 14d ago

Easy Apply

Contract

Depends on Experience

Lead Data Software Engineer with Databricks with Apache Kafka, Apache Spark, Kubernetes

EPAM Systems

Remote • Today

Full-time

Data Engineer III - (Pyspark/databricks/Mongo/Sql/Python)

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 118,750.00 - 160,000.00 per year

Data Engineer III - (Pyspark/databricks/Mongo/Sql/Python)

JPMorgan Chase & Co.

Hoboken, New Jersey • 6d ago

Full-time

Lead Data Software Engineer with Databricks

EPAM Systems

Remote • Today

Full-time

Senior Data Scientist - Databricks Genie & AI Analytics

Dev Technology Group Inc.

Ashburn, Virginia • Today

Full-time

Senior Data Engineer - With DataBricks

Neurolynx Global inc

Remote • Today

Easy Apply

Contract

Depends on Experience

Senior Databricks Engineer

Resource Informatics Group

Austin, Texas • Today

Easy Apply

Third Party, Contract

Lead Software Engineer - Data Engg. - Databricks / Snowflake

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Senior Databricks Engineer

Kforce Technology Staffing

Charlotte, North Carolina • Today

Third Party, Contract

$58 - $62 hourly

Senior Data Platform Architect (Snowflake, Databricks, Open Platforms & Data Virtualization), VP I - State Street Investment Management

State Street Corporation

Boston, Massachusetts • 6d ago

Full-time

USD 120,000.00 - 202,500.00 per year

Senior Data Platform Architect (Snowflake, Databricks, Open Platforms & Data Virtualization), VP I - State Street Investment Management

State Street Corporation

Boston, Massachusetts • Today

Full-time

USD 120,000.00 - 202,500.00 per year

Senior Data Engineer - USA Remote

BMC Software Inc

Remote • Today

Full-time

USD 132,975.00 - 221,625.00 per year

Senior Data Engineer - Remote (USA)

ICF Consulting Group, Inc.

Remote or Reston, Virginia • Today

Full-time

USD 89,649.00 - 152,404.00 per year

Job Details

Skills

Databricks Data Engineer
Data Modeling
Delta Lake
Spark
Pyspark
Spark SQL
Finance
ABS
MBS
Legacy SQL
C++
JAVA
Python
SQL
Databricks Data
AI Summit
Snowflake Summit
FINOS

Summary

Role: Senior Data Engineer Databricks

Location: Breezy Point, NY (Remote)

Duration: Contract

W2 Only

Responsibilities:

Legacy Migration & Parity Governance: Lead the migration of structured finance datasets from legacy proprietary codebases to Databricks. Methodically extract undocumented business rules and design audit-ready parity validation frameworks for cutover.
Data Modeling & Architecture Ownership: Design target data structures for complex financial instruments, handling point-in-time accuracy, as-of joins, bitemporal history, late-arriving data, and corporate action adjustments.
Pipeline Engineering: Build and operate scalable ingest, transformation, and publishing layers. Establish robust data quality gates, reconciliation frameworks, and lineage tracking suited for a regulated environment.
Performance & Cost Optimization: Optimize cluster configurations, job orchestration, query strategies, and storage layouts. Drive measurable reductions in execution times and compute costs.
Stakeholder Alignment & Documentation: Partner directly with quantitative, risk, and product teams. Articulate architectural trade-offs ("why option A was chosen over option B") and author durable technical specifications.

Required Qualifications:

8+ Years in Data Engineering: Proven track record of architectural ownership and end-to-end system design.
Production Databricks Depth: Extensive experience with Delta Lake, Spark (PySpark & Spark SQL), Unity Catalog, job orchestration, and performance tuning (partitioning, clustering, Z-ordering, file compaction).
Financial Time-Series Domain Expertise: Strong understanding of structured finance instruments (ABS/MBS, loan-level data, cash flow analytics) and time-series correctness (bitemporal processing, point-in-time alignment, late-arriving data).
Legacy Code Discovery: Demonstrated ability to read unfamiliar, monolithic production codebases (e.g., legacy SQL/stored procedures, C++, Java, or custom scripts) to recover underlying business logic without relying on specs.
Demonstrated Impact: Applicants must be able to quantify the scale and business outcomes of their past initiatives (e.g., performance gains, cost reductions, data parity metrics, scale handled).
Languages & Tooling: Advanced Python, SQL, shell scripting, and CI/CD-driven infrastructure delivery (e.g., Git, Terraform).

Strongly Preferred Qualifications:

Conference Presentation or Published Work: Prior speaking engagement at major industry events (e.g., Databricks Data + AI Summit, AWS re:Invent, Snowflake Summit, FINOS, or regional Data Engineering conferences) OR published technical blogs/whitepapers on complex data engineering or financial modeling.
Legacy Migration Cutover Experience: Proven history of taking a legacy platform completely off-line through rigorous parity testing and controlled cutover.
Governance & Cost Control: Hands-on execution with Delta Live Tables, Unity Catalog governance, and FinOps/cost management.

Engagement Details:

Duration: 6 months, renewable based on performance and client need.
Work arrangement: Remote within the continental United States. Candidates based in or near New York City are strongly preferred for periodic on-site collaboration with the client team.
Hours: Core overlap with U.S. Eastern business hours required.
Work authorization: Candidates must be authorized to work in the United States for the full contract term. Candidates whose authorization depends on employer sponsorship should be aware that international travel during the engagement may create re-entry delays that disrupt project continuity, and should plan accordingly.

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: 91119551
Position Id: 9060609
Posted 1 hour ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Nishanth Vallapu

Technical Product Manager @ Symantrix Inc

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Databricks Forward Deployed Engineer

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Role Overview We are seeking an experienced Forward Deployed Engineer (FDE) to act as the primary technical bridge between our data platforms and client success. This is a high-velocity role for an engineer who thrives in ambiguity and can context-switch seamlessly between multiple concurrent client projects. Unlike traditional architecture roles, you will be embedded directly within client delivery teams to own the end-to-end implementation of Databricks-centric Lakehouse platforms. You will be

Easy Apply

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60 - 80

Job Details

Skills

Databricks Data Engineer
Data Modeling
Delta Lake
Spark
Pyspark
Spark SQL
Finance
ABS
MBS
Legacy SQL
C++
JAVA
Python
SQL
Databricks Data
AI Summit
Snowflake Summit
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Summary

Role: Senior Data Engineer Databricks

Location: Breezy Point, NY (Remote)

Duration: Contract

W2 Only

Responsibilities:

Legacy Migration & Parity Governance: Lead the migration of structured finance datasets from legacy proprietary codebases to Databricks. Methodically extract undocumented business rules and design audit-ready parity validation frameworks for cutover.
Data Modeling & Architecture Ownership: Design target data structures for complex financial instruments, handling point-in-time accuracy, as-of joins, bitemporal history, late-arriving data, and corporate action adjustments.
Pipeline Engineering: Build and operate scalable ingest, transformation, and publishing layers. Establish robust data quality gates, reconciliation frameworks, and lineage tracking suited for a regulated environment.
Performance & Cost Optimization: Optimize cluster configurations, job orchestration, query strategies, and storage layouts. Drive measurable reductions in execution times and compute costs.
Stakeholder Alignment & Documentation: Partner directly with quantitative, risk, and product teams. Articulate architectural trade-offs ("why option A was chosen over option B") and author durable technical specifications.

Required Qualifications:

8+ Years in Data Engineering: Proven track record of architectural ownership and end-to-end system design.
Production Databricks Depth: Extensive experience with Delta Lake, Spark (PySpark & Spark SQL), Unity Catalog, job orchestration, and performance tuning (partitioning, clustering, Z-ordering, file compaction).
Financial Time-Series Domain Expertise: Strong understanding of structured finance instruments (ABS/MBS, loan-level data, cash flow analytics) and time-series correctness (bitemporal processing, point-in-time alignment, late-arriving data).
Legacy Code Discovery: Demonstrated ability to read unfamiliar, monolithic production codebases (e.g., legacy SQL/stored procedures, C++, Java, or custom scripts) to recover underlying business logic without relying on specs.
Demonstrated Impact: Applicants must be able to quantify the scale and business outcomes of their past initiatives (e.g., performance gains, cost reductions, data parity metrics, scale handled).
Languages & Tooling: Advanced Python, SQL, shell scripting, and CI/CD-driven infrastructure delivery (e.g., Git, Terraform).

Strongly Preferred Qualifications:

Conference Presentation or Published Work: Prior speaking engagement at major industry events (e.g., Databricks Data + AI Summit, AWS re:Invent, Snowflake Summit, FINOS, or regional Data Engineering conferences) OR published technical blogs/whitepapers on complex data engineering or financial modeling.
Legacy Migration Cutover Experience: Proven history of taking a legacy platform completely off-line through rigorous parity testing and controlled cutover.
Governance & Cost Control: Hands-on execution with Delta Live Tables, Unity Catalog governance, and FinOps/cost management.

Engagement Details:

Duration: 6 months, renewable based on performance and client need.
Work arrangement: Remote within the continental United States. Candidates based in or near New York City are strongly preferred for periodic on-site collaboration with the client team.
Hours: Core overlap with U.S. Eastern business hours required.
Work authorization: Candidates must be authorized to work in the United States for the full contract term. Candidates whose authorization depends on employer sponsorship should be aware that international travel during the engagement may create re-entry delays that disrupt project continuity, and should plan accordingly.

Dice Id: 91119551
Position Id: 9060609
Posted 1 hour ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Nishanth Vallapu

Technical Product Manager @ Symantrix Inc

View Profile

Create job alert

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

Similar Jobs

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Today

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