Data Management

Data Management Engineer Jobs

124 jobs found

Today

Staff Data Engineer

Okta Chicago, IL

Chicago, IL

Today

$174k - $239k/yr Full time Senior Apache Airflow Cloud

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Job Description

Benefits and Culture

Well being and health support for employees, prioritizing balance and flexibility
Meaningful opportunities to drive social impact through technical work
Focus on developing talent and building strong, connected teams across the organization

Location: Chicago, IL, hybrid work arrangement. Compensation: USD 174,000 - 238,700 per year.

Responsibilities

Spearhead the architectural evolution of the data platform, defining the roadmap for its future state
Shape and guide a technical strategy for large scale platform improvements, balancing long term goals with incremental delivery
Collaborate with engineers and leaders across data, platform, and security teams to forge a unified, secure architecture
Produce architectural artifacts such as design documents, threat models, and technical specifications to align stakeholders on complex initiatives
Serve as a technical mentor to the Data Engineering team, elevating performance through guidance, code reviews, and sharing best practices
Build foundational components of the new architecture by hands-on coding to model patterns others can follow

Requirements

Commitment to building secure, reliable, and scalable data systems
8+ years in software development, with at least 5+ years in data engineering or data platform roles
Proven track record delivering large-scale, cross-functional technical programs
Extensive experience designing and deploying data infrastructure in a cloud environment, with AWS strongly preferred
In-depth knowledge of the modern data stack including Snowflake, dbt, and Airflow
Strong proficiency in Python and SQL, with emphasis on code quality and system design
Excellent communication skills enabling clarity and informed decisions on complex technical topics
Ability to navigate ambiguity, chart a path forward, and lead others to successful outcomes

Technologies

Snowflake
dbt
Airflow
Python
SQL
AWS
Terraform
Kubernetes

About the Auth0 Data Engineering Team

Pipeline team focuses on efficient data ingestion and rapid access to unmodeled data, operating near the Platform team and data producers
Warehouse team models data in the data warehouse to simplify analysis for data consumers, supporting business teams and decision-making
Interface team builds and manages connections between the data platform and external systems, ensuring consistent, reliable data access

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2d ago

Data Engineer III

JPMorganChase Jersey City, NJ

Jersey City, NJ

2d ago

$119k - $160k/yr Full time Big Data Bigdata Cloud Platform

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Job Description

JPMorganChase is seeking a Data Engineer III to join the External Reporting and Finance Control team in Jersey City, onsite. The role centers on designing and delivering trusted data collection, storage, access, and analytics solutions, and on developing, testing, and maintaining critical data pipelines and architectures across multiple business functions. This position offers a base salary range of USD 118,750 to 160,000 per year.

Responsibilities

Contributes to reviews of controls to help ensure robust protection for enterprise data.
Advises on and implements custom configuration changes in one to two tools to deliver products requested by the business or customers.
Updates logical and physical data models to reflect new use cases.
Regularly works with SQL and has working knowledge of NoSQL databases and their role in the marketplace.
Contributes to a team culture that values diversity, opportunity, inclusion, and respect.

Requirements

More than five years of experience in data engineering and ETL use cases.
Experience across the data lifecycle.
Advanced SQL skills, including joins and aggregations.
Working understanding of NoSQL databases such as Mongo.
Extensive experience with statistical data analysis and the ability to select appropriate tools and data patterns for analysis.
Experience tailoring tool configurations to generate a product.

Technologies

SQL
NoSQL databases
Mongo
Pyspark
Databricks
AWS ECS
AWS Lambda
AWS EKS
Java

Benefits

Base salary decided by the role, experience, skills, and location
Commission-based or discretionary incentive compensation in cash or equity
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

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2d ago

Data Engineer

Howmet Aerospace Whitehall, MI

Whitehall, MI

2d ago

Full time Data Analysis Data Analytics Data Engineer

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Job Description

The Data Engineer at the Howmet Research Center partners with Data Scientists and ML Engineers to convert manufacturing data into reliable datasets that support machine learning, reporting, and visualization. The role involves travel up to 50 percent internationally to France, the United Kingdom, and Germany.

Responsibilities

Travel up to 50 percent, including international trips to France, the United Kingdom, and Germany.
Collaborate with manufacturing plant personnel to understand detailed processes and data collection interfaces.
Coordinate with corporate and local IT teams to map data storage and sources related to plant processes and identify efficient query approaches.
Query multiple data sources and join data to accurately reflect the manufacturing process.
Explore datasets to identify edge cases, data cleaning requirements, and potential biases, applying statistical methods as needed.
Down-select, augment, and clean the dataset for reliability.
Iterate data preparation steps to produce a representative dataset and be able to explain methods to stakeholders at various levels.
Work with Data Scientists and Machine Learning Engineers to understand model input requirements and transform data accordingly.
Provide post-modeling functions to translate model results into process-relatable values.
Contribute to elevating proof-of-concept code to production-ready scripts.
Document projects in PowerPoint and reusable code, storing work in a revision-controlled system.

Requirements

Bachelor’s degree in engineering, data analysis, data science, computer science, or information systems.
Experience with basic SQL querying skills.
Proven ability to transform data using a programming language.
Strong working knowledge of Microsoft Office applications (Word, Excel, PowerPoint, Visio).
Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Technologies

SQL
PowerPoint
Word
Excel
Visio

Equal Opportunity Employer

Howmet is committed to equal employment opportunities for all applicants and employees. We strive to create an inclusive environment for everyone, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics.

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2d ago

Lead Data Engineer

Daley and Associates Boston, MA

Boston, MA

2d ago

Full time Cloud Cloud Platform Data

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Job Description

Daley and Associates seeks a Lead Data Engineer to specialize in data integration, dbt driven data modeling in Snowflake, and end to end data pipelines for investment data. This on site role in Boston, MA requires three days per week on site, supporting the Investment Data Management Office.

Responsibilities

Design, develop, and maintain dbt data models in Snowflake, implementing business logic and ensuring alignment with the established data architecture and standards.
Lead and contribute to dbt projects, ensuring high quality code, thorough documentation, and adherence to modular, scalable design patterns.
Architect, construct, and manage scalable data pipelines and a robust data warehouse to support reporting, analytics, and operational use cases.
Lead and participate in development activities; design and implement solutions that address business requirements aligned with program objectives.
Pursue ongoing enhancements of data quality, resilience, governance, efficiency, and monitoring capabilities.
Diagnose and resolve complex system interactions to identify root causes of issues.
Collaborate with the platform lead to design, develop, implement, and deploy new software components for the investment data platform.
Work with the data architect to evaluate and finalize the unified data model.
Coordinate with the integration architect to upgrade and integrate ingestion and delivery tools with the unified data platform.
Upgrade and integrate transformation, data validation, and orchestration tools with the unified data platform to enable data engineering, analytics engineering, and ongoing data maintenance capabilities.
Provide on call support during unexpected outages.

Requirements

Bachelor’s degree in Computer Science or a related discipline.
5 to 6 plus years of experience designing, developing, and delivering data oriented complex applications.
Minimum of 2 to 4 years of hands on experience progressing from SQL to Advanced SQL.
Experience developing and maintaining data models in dbt (Data Build Tool).
Experience in data integration (ETL/ELT), data warehouse, data analytics architecture, and a solid understanding of design principles; familiarity with Snowflake and other cloud native databases is highly preferred.
Development experience on cloud based PAAS platforms such as Microsoft Azure, Google GCP or Amazon AWS.
Strong understanding of Agile SDLC, DevOps, and Cloud technologies, with exposure to multiple technologies, platforms, and processing environments.
Knowledge of architectures and patterns such as unified data management (UDM), data mesh, event driven architecture, real time data flows, non relational repositories, and data virtualization.
Experience building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions is desired.
Strong interpersonal and communication skills with the ability to lead cross team collaboration and partnerships across a variety of internal and external constituencies.

Technologies

dbt (Data Build Tool)
Snowflake
Microsoft Azure
Google Cloud Platform
Amazon Web Services

What We Are Looking For

Bachelor’s degree in Computer Science or related disciplines.
About five to six years of experience designing, developing, and delivering data oriented complex applications.
At least two to four years of hands on SQL experience, including advanced SQL techniques.
Experience in developing and maintaining dbt data models.
Background in ETL/ELT data integration, data warehousing, and analytics architecture; familiarity with Snowflake and other cloud native databases is highly preferred.
Development experience on cloud PAAS platforms such as Azure, AWS, or Google Cloud.
Strong grasp of Agile SDLC, DevOps, and cloud technologies, with exposure to diverse tech stacks and environments.
Knowledge of architectures like UDM, data mesh, event-driven patterns, real-time data flows, NoSQL stores, and data virtualization.
Experience delivering solutions in the financial services domain with an understanding of instruments, transactions, and positions is a plus.
Excellent collaboration and communication skills to coordinate with multiple internal and external stakeholders.

Preferred Qualifications

Experience within the asset management industry and investment data domain, with exposure to multi asset investment platforms and related data ecosystems.
Understanding of asset management concepts and knowledge of various financial instruments and products, including traditional and alternative asset classes.
Industry certifications in Snowflake, dbt, cloud data engineering platforms, data warehousing technologies, or financial markets and operations are highly valued.
Demonstrated interest in emerging AI technologies and an understanding of how AI driven tools can improve engineering processes, data quality, operational efficiency, and analytics workflows.
Familiarity with leveraging AI assisted development, automation, or data engineering best practices to enhance productivity and continuous improvement initiatives is a plus.

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2d ago

Data Architect / Principal Data Engineer III

Hudson Manpower Cincinnati, OH

Cincinnati, OH

2d ago

$55 - $60/hr Full time Senior Cloud Cloud Platform

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Job Description

Onsite in Cincinnati, OH, this Data Architect / Principal Data Engineer III role focuses on designing scalable data solutions for a banking environment, leveraging DBT, Snowflake, and SQL. Compensation is USD 55 - 60 per hour.

Responsibilities

Design, develop, and support data solutions, APIs, tools, and processes to enable rapid delivery of business capabilities.
Collaborate with IT application teams, Enterprise Architecture, infrastructure, information security, and lines of business to translate strategies into data driven solutions for the bank.
Serve as a technical expert addressing challenges in system and application design, performance, integration, and security.
Research and develop using current trends in banking, data engineering and architecture, and data security.
Partner with developers to build CI/CD pipelines, self service build tools, and automated deployment processes.
Evaluate software products and provide documented recommendations as needed.
Provide support and troubleshooting for data platforms, including escalated on call assistance for complex incidents.
Participate in hardware and software planning processes.
Lead internal projects as needed, such as legacy system replacement, monitoring and analytics improvements, tool development, and technical documentation.
Provide technical guidance and mentoring for team members.
Manage and prioritize multiple assignments.

Requirements

Bachelor's degree in Computer Science, Information Systems, or an equivalent combination of education and experience.
Strong verbal and written communication skills to engage management, sponsors, business and IT teams, and technical resources.
Seven or more years of IT experience relevant to the position.
Working knowledge of application and data security concepts, best practices, and common vulnerabilities.
Experience in one or more of the following areas preferred: big data technologies, metadata management, commercial ETL tools, BI and reporting tools, messaging systems, data warehousing, Java, major version control systems, CI/CD tools, infrastructure automation/virtualization, major cloud platforms, or REST API design and development.
Experience collaborating with offshore teams is desirable.
Financial industry experience is a plus.

Technologies

DBT
Snowflake
SQL
Java

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Referral bonuses

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3d ago

Data Engineer

Energy Domain Fort Worth, TX

Fort Worth, TX

3d ago

$100k - $150k/yr Full time Apache Airflow AWS Cloud Infrastructure

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Job Description

Energy Domain in Fort Worth, TX, is seeking a Data Engineer to design, build, and maintain robust data pipelines, elevate data quality, and translate business needs into technical requirements in a fast paced environment. This hybrid role combines software development with data engineering, offering exposure to AI integrations and scalable data workflows within a dynamic energy-focused context.

Responsibilities

Design, implement, and maintain data pipelines to ingest and normalize data across structured, semi-structured, and unstructured sources.
Assess source data and develop innovative strategies to continually improve data quality and consistency.
Collaborate with developers, business development personnel, and management to understand business needs and translate them into technical requirements.
Ensure code quality, security, and scalability.
Debug and troubleshoot issues promptly.
Participate in code reviews and provide constructive feedback.

Requirements

5+ years of software development experience.
Strong experience with Python, GitHub, Linux, ETL orchestration tools such as Apache Airflow, and AWS.
Significant experience with AI integrations and AI workflows.
Experience building distributed data integrations in production-scale environments.
DevOps experience and practices.
Experience with relational databases.
Strong problem solving skills and attention to detail.
Ability to thrive in a fast-paced environment.
Excellent communication and interpersonal skills.
Must be legally authorized to work in the United States without employer sponsorship now or in the future.

Technologies

Python
GitHub
Linux
Apache Airflow
AWS
Typescript
React
Django
CloudFormation

Bonus Skills

Typescript, React, Django, CloudFormation
Experience in the oil and gas industry
Experience with Apache Airflow

Culture Index Trait Survey

Applicants MUST complete this survey to be considered. Use the following link, complete both pages of questions and follow the prompts. https://go.apply.ci/p/OHUBN73t1gr0x55GuKKr

Benefits

Flexible hybrid schedule
Newly renovated and furnished office building
Salary
401(k)
Health Insurance starts on day 1 (employee paid with family option)
Gym Reimbursement
Participation in Bonus Plan
Unlimited PTO (subject to supervisor approval)
Dental insurance
Flexible spending account
Vision insurance
Paid time off

Pay

Pay: $100,000 - $150,000 per year

Work Location

Hybrid remote in Fort Worth, TX 76102

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3d ago

Data Engineer

Information Technology Senior Management Forum Bloomington, IL 🇺🇸 Remote

Bloomington, IL

3d ago

$153k - $153k/yr Full time Big Data Claims Data Pipelines Data Analysis

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Job Description

Information Technology Senior Management Forum is seeking a Data Engineer to advance its data-driven approach to claims investigations and fraud detection. Based in Bloomington, IL with the option to work remotely within the United States, this role focuses on designing and implementing knowledge graph structures and applying advanced graph analytics. You will collaborate with cross-functional teams to turn complex data into scalable, compliant solutions across multiple platforms and compute environments.

Location

Bloomington, Illinois, with remote work options available within the United States.

Type

Full-time

Salary

Annual salary: 152,734 USD

Job ID

44799

Responsibilities

Design and implement sophisticated knowledge graph structures to boost claims investigations and fraud detection through advanced graph analytics.
Partner with cross-functional teams to enable data‑driven decision making and drive innovation.
Utilize industry-standard languages and frameworks across coding, testing, security, DevOps, DataOps, and data engineering using graph database technologies.
Develop and maintain reusable, scalable, and compliant data solutions spanning multiple platforms and compute environments.
Identify, acquire, cleanse, profile, and ETL data used in analytic discovery and production deployments across platforms.
Build business domain knowledge for existing State Farm data sources and evaluate, recommend, and initiate data resource acquisition, internally and externally.
Identify and advise on emerging technologies and core systems, including techniques, tools, data sources, and platforms in data engineering.
Handle datasets that combine structured and unstructured data.
Adopt a DataOps mindset to ensure data alignment with enterprise needs and leverage automation to deliver high-quality data solutions.
Gather information to understand customer technical needs, propose solutions, and develop implementation and integration plans.
Oversee analysis, design, deployment, support, and security of technology to ensure efficient management of technology and data assets in line with market best practices and regulations.
Apply a broad range of computer science principles to data engineering solutions.

Requirements

Bachelor’s degree or foreign equivalent in Computer Science or a closely related field.
Minimum 5 years of experience in the offered role or related positions such as Specialist Programmer, Machine Learning Engineer, or Graph Data Engineer.
5 years of experience with graph database management systems (Neo4j or Amazon Neptune) and Cypher Query Language.
5 years of experience with distributed computing frameworks, including Apache Spark.
5 years of experience with programming languages such as Python or Java, and Scala.
5 years of experience with containerization and orchestration (Docker, Kubernetes), leveraging Graph Algorithms Libraries and Neo4j GDS.

Education

Bachelor’s degree or foreign equivalent in Computer Science or a closely related field.

Technologies

Neo4j, Amazon Neptune
Cypher
Apache Spark
Python, Java, Scala
Docker, Kubernetes
Graph Algorithms Libraries, Neo4j GDS

Benefits

Competitive pay with eligibility for an annual raise and bonus.
Comprehensive health and wellbeing programs; most healthcare premiums covered with multiple plan options, including a high deductible plan; 100% in-network preventative care, plus vision, dental, telemedicine, and 24/7 mental health support.
Educational benefits including training programs, tuition assistance, mentoring, and employee resource groups.
Life events support such as fertility/IVF/adoption assistance, college coaching, and financial planning resources, plus access to savings through a credit union.
Generous paid time off, holidays, life leave, bereavement leave, and community service/education days.
Matching Gift Program and Good Neighbor Grant Program to support giving back.
Retirement planning with access to free financial advising and a 401(k) plan with company contributions up to 7% of salary.