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Senior Data Engineer

M&T BANK CORPORATION

Buffalo, New York • Today

Full-time

USD 97,100.00 - 161,800.00 per year

Senior Data Scientist / Data Engineer Generative AI Engine Optimization

Projas Technologies, LLC

Remote • Today

Easy Apply

Contract

$80 - $95

Senior Data Engineer

CIS Technologies Inc.

Remote • 11d ago

Easy Apply

Contract

Depends on Experience

Senior Data Engineer/Data Architect

Innosoft Corporation

Remote or Columbia, South Carolina • 2d ago

Easy Apply

Full-time, Third Party

160000

Senior Data Engineer with UNIX and Healthcare

TekShapers

Remote • 13d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior Data Engineer

Hunter Industries Inc

Remote • Today

Full-time

USD 115,000.00 - 145,000.00 per year

Senior Data Engineer

CVS Health

Remote or Illinois • Today

Full-time

USD 83,430.00 per year

Senior Data Engineer

Atlassian Inc.

Remote • Today

Full-time

USD 167,400.00 - 218,550.00 per year

Senior Data Engineer

Allstate Insurance Company

Remote or Illinois • Today

Full-time

USD 80,000.00 - 136,625.00 per year

Senior Data Engineer

Voyager Technologies, Inc.

Remote • Today

Full-time

USD 163,000.00 - 205,000.00 per year

Senior Data Engineer

Strues Inc

Remote • 17d ago

Easy Apply

Contract

Depends on Experience

Sr Data Engineer

Boeing Employees Credit Union

Remote or Washington • Today

Full-time

USD 141,800.00 - 173,300.00 per year

Senior Data Engineer

Machinify

Remote • Today

Full-time

USD 180,000.00 - 220,000.00 per year

Senior Data Engineer

Brooksource

Remote • Today

Contract

$70.00 - $85.00

Sr Data Engineer

MMD Services, Inc

Remote • 4d ago

Easy Apply

Full-time

125000 - 135000

Senior Data Engineer

Datavail

Remote • Today

Full-time

Senior Data Engineer

Eliassen Group

Remote • Today

Full-time

USD 101,000.00 - 161,800.00 per year

Senior Data Engineer

Rivago infotech inc

Remote • 4d ago

Easy Apply

Contract, Third Party

60 - 65

Senior Data Engineer

Dimensional Fund Advisors LP

Remote or Matthews, North Carolina • Today

Full-time

Senior Data Engineer

Allstate Insurance Company

Remote • Today

Full-time

USD 98,100.00 - 167,850.00 per year

Senior Data Engineer (Remote)

First American Financial Corporation

Remote or Fort Mill, South Carolina • Today

Full-time

USD 121,980.00 - 130,525.00 per year

Senior Data Engineer - Snowflake

iSpace, Inc

Remote • 14d ago

Easy Apply

Contract

$60 - $66

Senior Data Engineer - Finance

Circles Inc.

Remote or San Francisco, California • Today

Full-time

USD 152,500.00 - 205,000.00 per year

Senior Data Engineer -Databricks

DCM Infotech Limited

Remote • Today

Easy Apply

Contract

Depends on Experience

Senior Data Engineer - Analytics

Machinify

Remote • Today

Full-time

USD 170,000.00 - 200,000.00 per year

Senior Data Engineer / Snowflake Architect

Rootshell Enterprise Technologies Inc.

Remote • 11d ago

Easy Apply

Full-time, Third Party

Depends on Experience

Sr Data Engineer

Protective

Remote or Nebraska • Today

Full-time

USD 84,000.00 - 128,667.00 per year

Senior Data Engineer (Remote Opportunity)

Hyatt Corporatation

Remote or Chicago, Illinois • Today

Full-time

USD 135,000.00 - 170,000.00 per year

Senior Data Engineer 2

Quantiphi Inc.

Remote • Today

Full-time

Senior Data Engineer, Data Platform

Root Inc.

Remote • Today

Full-time

USD 136,500.00 - 160,000.00 per year

Job Details

Skills

Data Management
Software Engineering
Continuous Improvement
Programming Languages
Relational Databases
Mainframe
SaaS
Product Requirements
Recovery
Root Cause Analysis
Promotions
Documentation
Technical Drafting
Cyber Security
Agile
Mentorship
People Management
SAP BASIS
Internal Control
Auditing
Brand
Systems Analysis
Application Development
SQL
Analytical Skill
Python
Data Engineering
ELT
Warehouse
Data Modeling
Git
Version Control
Automated Testing
Continuous Integration
Continuous Delivery
Streaming
Cloud Computing
Storage
Apache Parquet
JSON
Computerized System Validation
Apache Avro
XML
Linux
Unix
Scripting
Extract
Transform
Load
Management
Production Support
Supervision
Snow Flake Schema
Apache Spark
PySpark
Apache HTTP Server
Apache Kafka
Change Data Capture
Data Processing
Apache Airflow
Microsoft Azure
Databricks
Workflow
Orchestration
Terraform
Meta-data Management
Data Quality
Financial Services

Data Management
Software Engineering
Continuous Improvement
Programming Languages
Relational Databases
Mainframe
SaaS
Product Requirements
Recovery
Root Cause Analysis
Promotions
Documentation
Technical Drafting
Cyber Security
Agile
Mentorship
People Management
SAP BASIS
Internal Control
Auditing
Brand
Systems Analysis
Application Development
SQL
Analytical Skill
Python
Data Engineering
ELT
Warehouse
Data Modeling
Git
Version Control
Automated Testing
Continuous Integration
Continuous Delivery
Streaming
Cloud Computing
Storage
Apache Parquet
JSON
Computerized System Validation
Apache Avro
XML
Linux
Unix
Scripting
Extract
Transform
Load
Management
Production Support
Supervision
Snow Flake Schema
Apache Spark
PySpark
Apache HTTP Server
Apache Kafka
Change Data Capture
Data Processing
Apache Airflow
Microsoft Azure
Databricks
Workflow
Orchestration
Terraform
Meta-data Management
Data Quality
Financial Services

Summary

Job Description Overview:

Designs, develops, tests, deploys and supports complex data pipelines, data products and data management solutions across modern cloud, warehouse and lakehouse platforms. Applies software-engineering, data-modeling and distributed-processing practices to deliver secure, reliable, maintainable and cost-conscious solutions. Works independently on defined outcomes, collaborates across technology and data teams, and contributes to reusable engineering patterns and continuous improvement.

Primary Responsibilities:

Design, develop, test, deploy and support complex production data pipelines and data products with guidance on broader architecture where needed.
Develop maintainable data-processing and transformation solutions using SQL and programming languages such as Python.
Implement solutions using Snowflake, Databricks, dbt and comparable modern data platforms and frameworks.
Build data solutions across relational databases, cloud object storage, warehouse and lakehouse architectures, including open table formats such as Apache Iceberg where applicable.
Develop batch, micro-batch, CDC and streaming pipelines using approved enterprise patterns and technologies such as Apache Kafka or comparable platforms.
Integrate data from relational and mainframe systems, APIs, event streams, SaaS platforms, files and object storage.
Apply normalized, dimensional and denormalized data-modeling techniques appropriate to analytical and data-product requirements.
Tune SQL, Snowflake and Databricks/Spark workloads for performance and cost using appropriate partitioning, parallelism and compute practices.
Implement data quality, reconciliation, metadata, lineage, logging, monitoring and alerting controls.
Build pipelines that support error handling, restartability, idempotency, retry, replay and recovery using established patterns.
Participate in production support, incident resolution and root-cause analysis; implement corrective actions to prevent recurrence.
Use Git, peer review, automated testing, CI/CD and environment promotion practices for data engineering delivery.
Develop and reuse shared components, templates and patterns; contribute improvements to engineering standards and documentation.
Participate in technical design and code reviews, identify implementation risks and escalate architectural concerns appropriately.
Partner with product owners, architects, governance, cybersecurity, platform and consuming teams to clarify requirements and deliver supported solutions.
Contribute to technical epics and stories, estimate assigned work, identify dependencies and deliver through Agile practices.
Provide day-to-day technical assistance and informal mentoring to less-experienced engineers. This role does not have direct people-management responsibility.
Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite.
Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis. Identify risk-related issues requiring escalation to management.
Maintain internal control standards, including timely implementation of internal and external audit points and issues raised by external regulators, as applicable.
Promote an environment that supports belonging and reflects the Company brand.
Complete other related duties as assigned.

Education and Experience Required:

Associate's degree and a minimum of 5 years' systems analysis and/ or application development work experience or Bachelor's degree and a minimum of 3 years' systems analysis and/ or application development work experience. In lieu of degree, a combined minimum of 7 years' education and/or relevant work experience, including a minimum of 3 years' systems analysis and/or application development work experience
Strong SQL skills, including development of complex transformations and analytical queries.
Experience with Python or another general-purpose programming language used for data engineering.
Hands-on experience with Snowflake, Databricks or a comparable cloud data platform.
Experience with ELT/ETL and transformation practices, including dbt or a comparable framework.
Experience with relational data stores and warehouse or lakehouse data-modeling concepts.
Experience with distributed processing using Apache Spark/PySpark or a comparable framework.
Experience with Git-based source control, automated testing and CI/CD fundamentals.
Experience with batch data processing and working knowledge of streaming or event-driven concepts.
Knowledge of cloud and object-storage concepts, preferably in Microsoft Azure.
Experience working with structured and semi-structured data using formats such as Parquet, JSON, CSV, Avro and XML.
Experience with Linux/Unix environments and scripting.
Demonstrated ability to independently deliver complex data pipeline components and data products within an established architecture.
Demonstrated ability to troubleshoot data-processing, data-quality and production issues across multiple technologies.
Demonstrated ability to apply established engineering patterns while identifying opportunities for improvement.
Demonstrated ability to communicate implementation choices, risks and dependencies to technical and product partners.
Demonstrated ability to manage assigned work from design through production support with limited day-to-day supervision.

Education and Experience Preferred:

Production experience with Snowflake, Databricks, Apache Spark/PySpark and dbt.
Experience with Apache Iceberg or another open table format.
Experience with Apache Kafka, CDC or event-driven data processing.
Experience with orchestration technologies such as Apache Airflow, Azure Data Factory, Databricks Workflows or dbt orchestration.
Experience with Terraform or another Infrastructure as Code technology.
Experience with data catalogs, metadata, lineage, observability or automated data-quality tooling.
Experience delivering governed enterprise data products.
Experience working in a regulated environment such as financial services.

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $97,100.00 - $161,800.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.

Location
Buffalo, New York, United States of America

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: 80180520
Position Id: 14a400013128190fb48a8b89af98c55c
Posted 21 hours ago

Fitment

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Job Details

Skills

Data Management
Software Engineering
Continuous Improvement
Programming Languages
Relational Databases
Mainframe
SaaS
Product Requirements
Recovery
Root Cause Analysis
Promotions
Documentation
Technical Drafting
Cyber Security
Agile
Mentorship
People Management
SAP BASIS
Internal Control
Auditing
Brand
Systems Analysis
Application Development
SQL
Analytical Skill
Python
Data Engineering
ELT
Warehouse
Data Modeling
Git
Version Control
Automated Testing
Continuous Integration
Continuous Delivery
Streaming
Cloud Computing
Storage
Apache Parquet
JSON
Computerized System Validation
Apache Avro
XML
Linux
Unix
Scripting
Extract
Transform
Load
Management
Production Support
Supervision
Snow Flake Schema
Apache Spark
PySpark
Apache HTTP Server
Apache Kafka
Change Data Capture
Data Processing
Apache Airflow
Microsoft Azure
Databricks
Workflow
Orchestration
Terraform
Meta-data Management
Data Quality
Financial Services

Data Management
Software Engineering
Continuous Improvement
Programming Languages
Relational Databases
Mainframe
SaaS
Product Requirements
Recovery
Root Cause Analysis
Promotions
Documentation
Technical Drafting
Cyber Security
Agile
Mentorship
People Management
SAP BASIS
Internal Control
Auditing
Brand
Systems Analysis
Application Development
SQL
Analytical Skill
Python
Data Engineering
ELT
Warehouse
Data Modeling
Git
Version Control
Automated Testing
Continuous Integration
Continuous Delivery
Streaming
Cloud Computing
Storage
Apache Parquet
JSON
Computerized System Validation
Apache Avro
XML
Linux
Unix
Scripting
Extract
Transform
Load
Management
Production Support
Supervision
Snow Flake Schema
Apache Spark
PySpark
Apache HTTP Server
Apache Kafka
Change Data Capture
Data Processing
Apache Airflow
Microsoft Azure
Databricks
Workflow
Orchestration
Terraform
Meta-data Management
Data Quality
Financial Services

Summary

Job Description Overview:

Designs, develops, tests, deploys and supports complex data pipelines, data products and data management solutions across modern cloud, warehouse and lakehouse platforms. Applies software-engineering, data-modeling and distributed-processing practices to deliver secure, reliable, maintainable and cost-conscious solutions. Works independently on defined outcomes, collaborates across technology and data teams, and contributes to reusable engineering patterns and continuous improvement.

Primary Responsibilities:

Design, develop, test, deploy and support complex production data pipelines and data products with guidance on broader architecture where needed.
Develop maintainable data-processing and transformation solutions using SQL and programming languages such as Python.
Implement solutions using Snowflake, Databricks, dbt and comparable modern data platforms and frameworks.
Build data solutions across relational databases, cloud object storage, warehouse and lakehouse architectures, including open table formats such as Apache Iceberg where applicable.
Develop batch, micro-batch, CDC and streaming pipelines using approved enterprise patterns and technologies such as Apache Kafka or comparable platforms.
Integrate data from relational and mainframe systems, APIs, event streams, SaaS platforms, files and object storage.
Apply normalized, dimensional and denormalized data-modeling techniques appropriate to analytical and data-product requirements.
Tune SQL, Snowflake and Databricks/Spark workloads for performance and cost using appropriate partitioning, parallelism and compute practices.
Implement data quality, reconciliation, metadata, lineage, logging, monitoring and alerting controls.
Build pipelines that support error handling, restartability, idempotency, retry, replay and recovery using established patterns.
Participate in production support, incident resolution and root-cause analysis; implement corrective actions to prevent recurrence.
Use Git, peer review, automated testing, CI/CD and environment promotion practices for data engineering delivery.
Develop and reuse shared components, templates and patterns; contribute improvements to engineering standards and documentation.
Participate in technical design and code reviews, identify implementation risks and escalate architectural concerns appropriately.
Partner with product owners, architects, governance, cybersecurity, platform and consuming teams to clarify requirements and deliver supported solutions.
Contribute to technical epics and stories, estimate assigned work, identify dependencies and deliver through Agile practices.
Provide day-to-day technical assistance and informal mentoring to less-experienced engineers. This role does not have direct people-management responsibility.
Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite.
Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis. Identify risk-related issues requiring escalation to management.
Maintain internal control standards, including timely implementation of internal and external audit points and issues raised by external regulators, as applicable.
Promote an environment that supports belonging and reflects the Company brand.
Complete other related duties as assigned.

Education and Experience Required:

Associate's degree and a minimum of 5 years' systems analysis and/ or application development work experience or Bachelor's degree and a minimum of 3 years' systems analysis and/ or application development work experience. In lieu of degree, a combined minimum of 7 years' education and/or relevant work experience, including a minimum of 3 years' systems analysis and/or application development work experience
Strong SQL skills, including development of complex transformations and analytical queries.
Experience with Python or another general-purpose programming language used for data engineering.
Hands-on experience with Snowflake, Databricks or a comparable cloud data platform.
Experience with ELT/ETL and transformation practices, including dbt or a comparable framework.
Experience with relational data stores and warehouse or lakehouse data-modeling concepts.
Experience with distributed processing using Apache Spark/PySpark or a comparable framework.
Experience with Git-based source control, automated testing and CI/CD fundamentals.
Experience with batch data processing and working knowledge of streaming or event-driven concepts.
Knowledge of cloud and object-storage concepts, preferably in Microsoft Azure.
Experience working with structured and semi-structured data using formats such as Parquet, JSON, CSV, Avro and XML.
Experience with Linux/Unix environments and scripting.
Demonstrated ability to independently deliver complex data pipeline components and data products within an established architecture.
Demonstrated ability to troubleshoot data-processing, data-quality and production issues across multiple technologies.
Demonstrated ability to apply established engineering patterns while identifying opportunities for improvement.
Demonstrated ability to communicate implementation choices, risks and dependencies to technical and product partners.
Demonstrated ability to manage assigned work from design through production support with limited day-to-day supervision.

Education and Experience Preferred:

Production experience with Snowflake, Databricks, Apache Spark/PySpark and dbt.
Experience with Apache Iceberg or another open table format.
Experience with Apache Kafka, CDC or event-driven data processing.
Experience with orchestration technologies such as Apache Airflow, Azure Data Factory, Databricks Workflows or dbt orchestration.
Experience with Terraform or another Infrastructure as Code technology.
Experience with data catalogs, metadata, lineage, observability or automated data-quality tooling.
Experience delivering governed enterprise data products.
Experience working in a regulated environment such as financial services.

Dice Id: 80180520
Position Id: 14a400013128190fb48a8b89af98c55c
Posted 21 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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