United States

Developer Jobs in United States

4,418 jobs found

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12d ago

Quantitative Data Engineer

Canyon Associates Parsippany-Troy Hills, NJ

Parsippany-Troy Hills, NJ

12d ago

$150k - $200k/yr Full time Backend Developer Data Analysis Data Analytics

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Job Description

Join Canyon Associates as a Quantitative Data Engineer, supporting production development and equity market quantitative modeling in a hybrid setup based in Parsippany-Troy Hills, NJ.

Responsibilities

Work 3 days per week on site
Develop production-grade solutions using Python
Implement and manage quantitative models for equity markets
Use SQL to support model workflows and data access

Requirements

Experience with equities and/or investment systems
Proficiency with SQL and stored procedures
Financial equity data experience, including one or more of: Bloomberg, LSEG, Compustat, CapIQ
MS degree required
Job Type: Full-time
Work Location: Hybrid remote, Parsippany-Troy Hills, NJ 07054

Technology Stack

Python
SQL
Stored procedures
Bloomberg
LSEG
Compustat
CapIQ

Compensation

USD 150,000 - 200,000 per year

Benefits

401(k)
401(k) matching
Dental insurance
Flexible spending account
Health insurance
Health savings account
Paid time off
Parental leave
Vision insurance

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12d ago

IT Lead Data Engineer

BDO United States

United States

12d ago

$138k - $170k/yr Full time Manager Analytics Artificial Intelligence

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Job Description

The IT Lead Data Engineer provides technical leadership for extracting, transforming, and storing the Firm’s data assets. This role designs data solutions, oversees data extraction and ingestion platforms, and helps establish governance practices while mentoring junior engineers.

Key Responsibilities

Partner with stakeholders and data architects to define and design data solutions aligned to Firm data initiatives.
Assess where data assets reside across Firm systems, then design solutions that integrate disparate sources to address business problems and deliver business value.
Coordinate with project managers to provide effort estimates and deliver technical leadership across solution design and requirements.
Work with data governance teams to ensure governance principles are applied throughout day-to-day data usage and solution design.
Create mock-up solution designs, visualizations, and reports to demonstrate proposed solutions and deliverables.
Serve as a subject matter expert to educate teams on Firm data platforms and best practices related to data usage and data hygiene.
Meet regularly with business line customers to understand business processes and evolving data needs, helping identify potential data-related projects.
Collaborate with data scientists and developers to apply advanced technologies, including artificial intelligence and machine learning, to uncover patterns and trends that increase the value of Firm data.
Build and maintain effective working relationships with project team members, vendors, and other departments involved in projects, systems, and IT strategies.
Act as a technical lead by reviewing proposed solution designs, conducting code reviews, and troubleshooting advanced technical issues.
Identify and implement continuous improvement efforts to keep Firm data accurate and timely.
Partner with Information Security and Compliance teams to support a data strategy and technologies that meet internal policies and external regulatory requirements.
Collaborate with BDO Global and other BDO member firms to ensure standards are followed, supporting reusable models and rapid deployment of shared technology.
Follow Project Management fundamentals and Project Management Office policies and procedures.
Perform other duties as required.

Required Qualifications

High School Diploma or GED, required.
Eight (8) or more years working as a data engineer, data analyst, or similar analyst/engineer role, required.
Eight (8) or more years working with PowerBI, Tableau, or similar data visualization products, required.
Five (5) or more years working within commercial cloud platforms such as Microsoft Azure, AWS, or GCP, required.
Three (3) or more years using version control tools (Azure DevOps, GitHub), required.
Demonstrable proficiency in developing and understanding custom and ad-hoc SQL queries, required.
Strong proficiency in the Microsoft Office suite, specifically Excel, required.
Strong proficiency in SQL Server Management Studio (SSMS), or similar, required.
Strong proficiency in PowerBI, Tableau, Looker, Qlik, or similar, required.

Preferred Qualifications

Experience working within a large, complex enterprise environment with significant regulatory and compliance requirements, preferred.
Experience using a modern scripting language such as Python, Scala, R, or Java, preferred.
Professional service firm experience, preferred.

Education

Bachelor’s Degree in Computer Science, Information Management, Mathematics, or Statistics, preferred.

Technologies

PowerBI, Tableau
Microsoft Azure, AWS, GCP
Azure DevOps, GitHub
SQL, SQL Server Management Studio (SSMS)
Looker, Qlik
Microsoft Office suite, Excel
Artificial intelligence, machine learning
Python, Scala, R, Java

Knowledge, Skills, and Abilities

Strong analytical, organizational, and problem-solving skills.
Excellent written communication skills with accurate documentation and technical authorship of complex materials.
Ability to facilitate meetings efficiently and effectively.
Capability to follow issues to resolution and escalate as necessary.
Ability to work independently and in a team environment, including providing technical leadership to less experienced colleagues.
Excellent interpersonal and customer relationship skills.
Ability to operate in a deadline-driven environment while managing multiple complex tasks with attention to detail.
Professional performance under pressure and handling unexpected issues.
Ability to work after hours and weekends as needed.
Ability to travel as needed.

Location and Compensation

Location: United States (onsite)

Estimated Salary: USD 138,000 to 170,000 per year

Minimum Experience: 3 years

Education: High School Diploma or GED

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12d ago

Senior Data Engineer

Regal Cinemas, Inc Knoxville, TN

Knoxville, TN

12d ago

Full time Senior Apache Airflow Azure Data Factory

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Job Description

Join Regal Cinemas, Inc. to design and operate scalable data platforms that power analytics, machine learning, and business intelligence.

Responsibilities

Design, develop, and maintain robust, scalable, and efficient data pipelines
Build and maintain SQL-based transformation models in a version-controlled analytics engineering framework (e.g., dbt)
Implement incremental processing strategies and reusable macros in analytics models
Architect and implement robust data models, dimensional models, and aggregate models
Provision and maintain data warehouse infrastructure (databases, schemas, roles, and grants) using infrastructure as code
Collaborate with enterprise business units to gather and translate data requirements
Optimize performance, scalability, and cost-efficiency, including compute sizing and cost or credit budget monitoring
Ensure data quality and integrity via automated testing, source-to-target reconciliation, freshness monitoring, and documentation
Implement and maintain performant CI/CD pipelines for data workflows
Maintain data governance and security controls, including role-based access, column-level data masking, and support for privacy or compliance requests
Migrate and modernize legacy data and reporting systems onto current platform capabilities
Mentor junior engineers, review peer code, and contribute to team knowledge sharing and best practices
Create comprehensive documentation of existing and planned data processes

Requirements

Bachelor’s degree or above in Computer Science, Information Systems, or related science field (or equivalent practical experience)
5+ years of experience as a Data Architect, Data Engineer, Analytics Engineer, or similar role
Strong SQL skills integrating relational source databases, including on-premises and/or cloud-hosted systems (e.g., SQL Server, MySQL / Amazon RDS)
Hands-on experience with a cloud data warehouse platform (e.g., Snowflake)
Experience ingesting from non-relational sources such as REST APIs, cloud analytics exports (e.g., BigQuery / GA4), and vendor file feeds (e.g., SFTP, fixed-width/CSV)
Proficiency in data modeling, ETL/ELT, and data warehousing solutions
Experience with a general-purpose programming language and testing/code-quality practices (e.g., Python)
Experience with a SQL transformation or analytics engineering framework (e.g., dbt)
Experience with Python-based ingestion frameworks or managed connectors (e.g., dlt, Fivetran, Airbyte)
Hands-on experience with cloud platforms (e.g., Azure: Blob/ADLS, Data Factory, Key Vault, Entra)
Hands-on experience with orchestration tools (e.g., Airflow, Prefect)
Hands-on experience with infrastructure as code tools (e.g., Terraform)
Experience with version control and CI/CD (e.g., GitHub Actions, Bitbucket Pipelines)
Implementation experience with data governance, security, and compliance standards (e.g., RBAC, column-level masking, PII handling)
Excellent analytical, problem-solving, and written communication skills, including documenting decisions and trade-offs for technical and non-technical audiences
Ability to work cross-functionally with technical and non-technical teams

Technologies

SQL
dbt
dbt macros
Python
dlt
Fivetran
Airbyte
Snowflake
SQL Server
MySQL
Amazon RDS
REST APIs
BigQuery
GA4
SFTP
CSV
Azure
Blob/ADLS
Data Factory
Key Vault
Entra
Airflow
Prefect
Terraform
GitHub Actions
Bitbucket Pipelines

Preferred Criteria

Experience with hybrid connectivity between cloud and on-premises networks (e.g., VPN/VNet, private endpoints, DNS forwarding)
Experience with CDP, reverse-ETL, or audience activation tooling (e.g., RudderStack, Braze, Google Ads Customer Match)
Experience with BI platform security models (e.g., Power BI row-level security, Sigma)
Familiarity with data catalog and lineage tooling (e.g., DataHub)
Experience migrating off legacy ETL/BI stacks (e.g., SSIS, SSAS, SQL Server Agent)

Benefits

Discretionary annual bonus
Free movie passes and discounted concessions at any Regal location
Paid vacation time and sick leave
Eligibility to participate in a 401(k) retirement plan with company match after age 21 and one month of service
Summer half-day Fridays during the summer season
Medical and prescription coverage, with company contributions toward the cost
Company-paid life insurance and disability insurance at no cost to employees
Dental, vision, and supplemental life insurance options available for employees and their dependents
Additional coverage options including accident, critical illness, and hospital indemnity insurance

Location: Knoxville, TN (hybrid)

Minimum experience: 5 years

Summary: Design, build, and optimize scalable data pipelines and architectures for analytics, machine learning, and business intelligence; own end-to-end data flow from ingestion through governed warehouse models and infrastructure as code.

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12d ago

Data Engineer Sr

Oshkosh Corporation Oshkosh, WI

Oshkosh, WI

12d ago

$104k - $174k/yr Full time Application Security Automation Azure Data Engineer

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Job Description

Oshkosh’s Advanced Analytics team is building engineering and service data capabilities to support preventive maintenance and intelligent control of vehicles. In this senior role, you will design and deliver data analytics platforms by engineering reliable CDC and ETL pipelines, supporting data governance, and enabling analytics to move from prototype to production with a clear architectural roadmap.

What you’ll do

Design and develop scalable Change Data Capture (CDC) and ETL solutions to move data from source systems into analytics platforms, covering structured and unstructured data plus batch and streaming.
Build data processing pipelines and leverage cloud and infrastructure tooling, including Terraform, Spark, Databricks, Snowflake, and Git.
Support and operate Azure infrastructure management and services such as ADLS Gen2, Azure Compute, Azure Data Factory, AI Foundry, AKS, VPCs, and Storage Accounts, along with related components.
Assist with data governance, including quality and security practices across a data lake and enterprise data warehouse systems across business segments.
Perform performance tuning and troubleshooting for data processing issues.
Collaborate across disciplines, departments, and segments, coordinating and communicating progress clearly.
Develop rapid prototyping and design approaches to deliver solutions quickly to the business.
Maintain reference architecture and documentation to support architectural governance and the application roadmap.
Assist with education efforts for others on best practices in areas such as data modeling, database design, ETL design, and job scheduling and monitoring.
Support or direct feasibility studies and project estimates, including manpower, budget, and timelines for proposed R&D work.
Complete tasks on a mutually agreed schedule with the supervisor/program manager, with minimum mentoring, while providing feedback on technical hurdles and progress.

What you bring

Bachelor’s degree in computer science, data science, or a related field, plus 4+ years as a data engineer, ETL developer, and/or data warehouse DBA.
3–5 years of prior experience in a data engineering or analytics organization in a technical role.
2+ years of software development experience (Python/Go preferred).
3+ years of major cloud provider experience (AWS/Azure/GCP).
Strong proficiency with SQL, Bash, and Python, including experience with Anaconda.
2+ years operating in Unix/Linux and Windows server environments.
2+ years operating in an Agile / Scrum environment.
Experience with cloud-based data services and solutions such as Azure Synapse / Data Lake, AWS RedShift, Snowflake, and GCP Big Query.
Experience partnering with analytics and data science teams to build production-grade GenAI/ML solutions.
Familiarity with CDC tooling such as Qlik Replicate, Striim, and Debeezium.
Experience with big data tools and architectures including Cloudera Hadoop, HDFS, Hive, and Spark.
Working knowledge of telematics interfaces and streaming solutions such as MQTT, NiFi, and Kafka.
Automotive or heavy duty on or off-road vehicle experience, including digital data bus concepts and Ethernet or Controller Area Network (CAN).
Strong critical thinking, analytical, and problem-solving skills, with the ability to manage multiple priorities in a fast-paced environment.
Excellent interpersonal skills, including the ability to present information and respond to questions from leadership and peers.

Compensation

Pay range: USD $104,100.00 - $173,900.00 per year.

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12d ago

OCTO ETL Data Engineer

Collaboredge Inc. Washington, DC

Washington, DC

12d ago

$59 - $72/hr Contract Analytics Apache Airflow Automation

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Job Description

Collaboredge Inc. is supporting the Enterprise Data team for OCTO and needs an ETL Data Engineer to help deliver reliable cloud data pipelines. This contract role is based in Washington, DC (onsite) and supports data curation, processing, and transformation for the Cloud Data Exchange using native Azure tooling across ETL, loading, and transformation.

If you enjoy end-to-end pipeline development, governance-focused engineering, and building automation that keeps enterprise workflows running smoothly, this is a strong match. The role also involves collaborating with other agencies and advising user departments on requirements, environment constraints, and cloud-based solutions for current and future District data systems.

Responsibilities

Analyze, design, develop, implement, replicate, and support complex enterprise data projects.
Interface with other agencies, gather requirements from stakeholders, and consult with user departments on system requirements.
Advise on environment constraints and operating difficulties for the current state, then advise and resolve problems using cloud solutions while developing and replicating future enhancements.
Build and enhance ETL solutions using frameworks such as Azure Data Factory, Synapse, Databricks, and Informatica by reviewing existing code and implementing improvements or new development.
Establish cloud and on-premise connectivity across systems such as ADLS, ADF, and Synapse, including connectivity for Databricks.
Develop end-to-end pipelines that load data from multiple sources into a landing layer and/or SQL tables.
Standardize and optimize data workflows/pipelines while adhering to best practices.
Support enterprise data governance by ensuring data accuracy, consistency, security, and reliability.
Automate, monitor, alert, and manage data pipelines and workflows.
Analyze and evaluate system changes for feasibility and define alternative solutions, backup, and rollback procedures.
Develop programs and reports using database query language.
Support upgrades, enhancements, and new systems while ensuring consistency with approved standards.
Handle and secure sensitive data based on sensitivity level.

Requirements

ETL development experience, including end-to-end pipelines that load data from multiple sources.
Ability to gather and document requirements for data extraction, transformation, and load processes.
Understanding of data warehousing, data lake, business intelligence, and information management concepts and standards.
Ability to advise internal and external customers on appropriate tools and systems for complex data processing challenges.
Knowledge and use of SQL for relational databases.
Experience with data formats including database-specific types (Oracle, SQL Server, Postgres, DB2, Quickbase), text formats (CSV, XML), and binary formats (Parquet, AVRO).
Strong experience with Microsoft Azure tools: Azure Data Factory, Synapse, SQL Database, Data Lake Storage Gen2, and Blob Storage.
Experience with data integration and pipeline tools such as Informatica PowerCenter, Apache NiFi, Apache Airflow, and FME.
Contribute to enterprise data governance standards: accuracy, consistency, security, and reliability.
Strong communication skills, both oral and written.
Ability to provide excellent customer service to external partners.
Ability to work independently or as part of a larger team.

Technologies

Azure Data Factory, Azure Synapse, Databricks
Informatica, Informatica PowerCenter
MSSQL Db, Azure SQL DB, SQL
Azure Data Lake Storage Gen2 (ADLS), Blob Storage
Python
Oracle, SQL Server, DB2, Quickbase
CSV, XML, Parquet, AVRO
Apache NiFi, Apache Airflow, FME
MicroStrategy, Tableau, Esri ArcGIS

Minimum Qualifications

3+ years of experience
Bachelor’s degree in Information Technology or related field, or equivalent experience

Background Check

Extensive criminal history background check required. Cannot submit candidates with recent histories (look back seven years) involving extensive driving, drug, robbery, or any other illegal activity.
Any criminal activity on the background check will eliminate the candidate from consideration.
If selected, candidates must complete this criminal background check prior to starting.
NATIONAL background checks are required; Federal background checks are NOT compliant under this contract.

Compensation: USD 59 - 72 per hour. Job Type: Contract.

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12d ago

Senior Data Engineer

Wells Fargo Charlotte, NC

Charlotte, NC

12d ago

$100k - $196k/yr Full time Senior Analytics Artificial Intelligence

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Job Description

Wells Fargo is hiring a Senior Data Engineer for the CCIBT organization (ECRT team) to deliver technology solutions for counterparty credit risk identification, measurement, aggregation, and enterprise reporting.

Responsibilities

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large-scale planning of strategies
Design, code, test, debug, and document technology projects and programs, including upgrades and deployments
Review moderately complex technical issues using in-depth evaluation of technologies and procedures
Resolve moderately complex problems and lead a team to meet existing client needs and potential new client needs, applying knowledge of function, policies, procedures, and compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to address technical challenges and meet goals
Lead projects and serve as an escalation point, providing guidance and direction to less experienced staff

Requirements

4+ years of software engineering experience (or equivalent via work experience, training, military experience, or education)
4+ years of Python development experience
4+ years of SQL development and data analysis experience
2+ years of Power BI reporting and dashboard development experience

Technologies

Python
SQL
Power BI
Dremio
Java
Agile
Jira
Confluence
CI/CD tools
Apache Iceberg
GitHub Copilot
Agentic AI tools

Desired Qualifications

3+ years supporting Counterparty Credit Risk functions within Capital Markets environments
Experience developing and supporting data visualizations using Dremio
Java development experience
Experience delivering in Agile teams, including sprint planning, backlog refinement, and stand-ups
Proficiency with Jira and Confluence for project tracking, collaboration, and documentation
Experience using CI/CD tools to automate build, testing, and deployment processes
Experience working with Apache Iceberg table formats in modern data platforms
Experience leveraging GitHub Copilot to improve developer productivity and code quality
Ability to use Agentic AI tools to design, develop, test, optimize, and maintain data pipelines and data solutions

Job Expectations

Must be able to work onsite at one of the posted locations; hybrid work schedule is available
Relocation assistance is not available for this position
Visa sponsorship is not offered for this position

Location

Charlotte, NC (hybrid)
300 S Brevard St., Charlotte, NC 28202
194 Wood Ave S., Iselin, NJ 08830

Compensation

USD 100,000 - 196,000 per year

Benefits

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Additional Information

Posting end date: 29 Sep 2026 (may come down early due to volume of applicants)
Applicants with disabilities: to request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo
Drug and alcohol policy: Wells Fargo maintains a drug-free workplace (see Drug and Alcohol Policy)
Third-party recordings are prohibited unless authorized by Wells Fargo
Wells Fargo requires candidates to directly represent their own experiences during the recruiting and hiring process

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12d ago

Informatica and Snowflake Data Engineer

SMART TECH SKILLS LLC Tallahassee, FL

Tallahassee, FL

12d ago

Full time Business Systems Cloud Cloud Data Engineering

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Job Description

SMART TECH SKILLS LLC offers a Senior-level opportunity for an Informatica and Snowflake Data Engineer in a hybrid setup. If you value building reliable enterprise data pipelines and improving production stability, this role focuses on data integration design, ETL/ELT development, and ongoing support.

Based in Tallahassee, FL (hybrid) (Senior level, 8+ years), you will deliver scalable solutions using Informatica PowerCenter and Informatica Cloud, with Snowflake for data loading and performance-focused schema and query work. The role also emphasizes documentation, requirements gathering, and collaboration across business and technical stakeholders.

Responsibilities

Develop and maintain ETL workflows using Informatica PowerCenter, including mappings, sessions, workflows, and reusable transformations.
Ingest data from multiple heterogeneous sources such as flat files, APIs, relational databases, and mainframe extracts into Oracle databases.
Build and support cloud-based ETL/ELT solutions with Informatica Cloud Data Integration.
Write and optimize Oracle SQL/PL-SQL, including stored procedures, packages, and performance tuning for ETL-related queries.
Load data into Snowflake and help with schema design and query performance optimization.
Troubleshoot and resolve data quality issues, job failures, and performance bottlenecks in production ETL pipelines.
Gather data requirements, perform source-to-target mapping, and document data flow and design specifications.
Analyze user requirements and operational procedures to identify opportunities for automation or system improvement.
Support batch data loads using scheduling/orchestration tools such as Control-M, Autosys, or the Informatica scheduler.
Collaborate with business and technical stakeholders to deliver scalable data engineering solutions.
Confer with organizational units to analyze current procedures and define input/output and reporting requirements.

Requirements

8+ years of experience as a Data Engineer/Systems Analyst designing, developing, and supporting data integration solutions in an enterprise environment.
8+ years of hands-on ETL workflow development and maintenance using Informatica PowerCenter.
8+ years ingesting data from multiple heterogeneous sources into Oracle databases.
8+ years strong working knowledge of Oracle SQL/PL-SQL, including stored procedures, packages, and performance tuning.
8+ years experience with Snowflake, including data loading, schema design, and query performance optimization.
8+ years experience with Informatica PowerCenter and/or Informatica Cloud Data Integration for cloud-based ETL/ELT development.
8+ years gathering data requirements, performing source-to-target mapping, and documenting data flow/design specifications.
8+ years troubleshooting data quality issues, job failures, and performance bottlenecks in production ETL pipelines.
8+ years experience with job scheduling/orchestration tools such as Control-M, Autosys, or Informatica scheduler.

Technologies

Informatica PowerCenter
Oracle SQL/PL-SQL
Oracle databases
Snowflake
Informatica Cloud Data Integration
Control-M
Autosys
Informatica scheduler
SAP Business Objects Universe

Preferred Qualifications

Experience with SAP Business Objects Universe design and/or maintenance.
Experience working in a state government or large enterprise IT environment with formal SDLC and change management processes.

Benefits

Competitive salary

Core Skills & Attributes

Strong analytical and problem-solving skills with a detail-oriented approach to data engineering.
Excellent written and verbal communication skills for engaging business and technical stakeholders.
Comfort working within structured SDLC environments and formal change management processes.
Strong troubleshooting mindset for production support and performance optimization.
Collaborative and adaptable, able to work effectively across business and technical teams.