Informatica

Informatica Engineer Jobs

220 jobs found

Today

Senior Data Engineer

Travelers Hartford, CT

Hartford, CT

Today

$139k - $230k/yr Full time Senior Business Intelligence Data Architecture

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Job Description

Build and operate data platforms that support growth and transformation while accelerating the analytics landscape for business and AI/ML use cases. In Hartford, CT (onsite), this Senior Data Engineer role at Travelers combines modern data engineering with governance, security, and production readiness, so end users can trust and leverage data across the organization.

What you’ll do

Build and operationalize complex data solutions, troubleshooting issues, applying transformations, and recommending data cleansing and quality improvements.
Design complex data solutions that incorporate new data sources, maintain consistency across projects, and align with overall data strategies.
Analyze complex sources to determine value and usage, and recommend what data to include in analytical processes.
Apply core data management competencies including data governance, data security, and data quality.
Serve as a data and technology subject matter expert within lines of business, supporting delivery and educating end users on data products and the analytic environment.
Conduct data and system analysis for high-complexity defects and incidents, resolving issues as appropriate.
Collaborate across teams to deliver solutions and educate stakeholders on complex data products and analytics environments.
Perform other duties as assigned.

What you bring

Bachelor’s Degree in a STEM related field or equivalent.
Ten years of related experience.
Experience with data pipelining, data processing, and data warehousing, with strong foundations in data engineering principles and practices.
Hands-on experience with modern data platforms and transformation tools including Databricks, Snowflake, and DBT.
Proficiency with ETL tools such as AbInitio or Informatica, plus experience with AWS or Azure.
Demonstrated technical leadership and/or supervisory experience, ideally within a large enterprise or corporate environment.
Experience leveraging AI tools and technologies to improve workflow efficiency and optimize engineering processes.
Advanced knowledge of cloud platforms, programming languages, and modern software engineering practices, including design strategy, automated testing, quality assurance, and system health monitoring for production readiness.
Strong problem-solving approach using data and proofs of concept to find creative solutions, measure impact, and optimize outcomes, with a track record of domain expertise and staying current with industry trends.
Ability to communicate complex technical concepts to business audiences, document initiatives clearly, build partnerships, and influence priorities in ambiguous situations.

Tools you’ll work with

Databricks, Snowflake, DBT, AbInitio, Informatica, AWS, Azure

Compensation and opening

Salary range: USD $139,400 - $230,000 per year

Target openings: 1

Location: Hartford, CT (onsite)

Benefits

Health Insurance
Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum
Paying it Forward Savings Program: student loan debt, with Travelers’ annual contribution into the 401(k) account when you make a payment
Pension Plan: 100% funded by Travelers
Paid Time Off: minimum of 20 days Paid Time Off annually, plus nine paid company Holidays
Wellness Program
Mental health program: access to free professional counseling services, health coaching, and other resources
Volunteer Encouragement: Matching Gift and Volunteer Rewards program

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Today

Data Engineer

Robert Half Madison, WI

Madison, WI

Today

$100k - $140k/yr Full time 3d Design Tools Big Data Bigdata

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Job Description

Robert Half is hiring a Data Engineer in Madison, WI for an onsite role focused on cloud data capabilities. The position supports reliable, scalable data platforms used for analytics and reporting, including building data solutions, automating data movement, and strengthening data quality and platform stability.

Role summary

You will help design and deliver practical data systems that enable information to be accessed, trusted, and used across analytics and reporting teams. Work spans data modeling, performance improvements in large-scale cloud environments, and troubleshooting to keep data platforms running smoothly.

Responsibilities

Build data solutions that improve how information is accessed, and make it more reliable and usable for analytics and reporting teams.
Enhance organizational data movement by creating efficient, automated processes that reduce manual effort and improve consistency.
Support large-scale cloud data environments by improving performance, troubleshooting issues, and helping maintain platform stability.
Partner with technical and non-technical stakeholders to understand business needs and translate them into data solutions.
Develop and refine data models for operational reporting, business intelligence initiatives, and future growth.
Work with a range of data sources and formats to ensure information can be used effectively across teams and applications.
Help establish data quality standards using validation, monitoring, and continuous process improvements.

Required qualifications

Cloud-based data engineering and platform development
Data warehousing and analytics environments
SQL development and data modeling
Python-based data processing and automation
Ability to build and support modern ETL or ELT frameworks
Large-scale data processing technologies such as Hadoop or Cloudera
Data quality, governance, validation, and performance tuning
Bachelor's degree or equivalent experience
Ability to meet client background clearance requirements
U.S. Citizen or Green Card Holder

Helpful experience with technologies

AWS services such as Glue, Athena, and Redshift
Snowflake, Databricks, Spark, Hive, or EMR
Kafka or other streaming technologies
PostgreSQL, MySQL, MongoDB, or Cassandra
Linux administration and scripting
Agile development environments
AI-assisted development tools

Compensation and location

Location: Madison, WI (onsite)
Salary: USD 100,000 - 140,000 per year

Benefits

Medical, vision, dental, and life and disability insurance (for contract/temporary professionals)
Eligible to enroll in the company 401(k) plan (for hired contract/temporary professionals)

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Today

Software Engineer - Microservices Architecture

National Computing Group Pittsburgh, PA

Pittsburgh, PA

Today

$55 - $65/hr Full time Backend Developer Python APIs

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Job Description

Software Engineer role focused on building scalable microservices-based applications in a Pittsburgh, PA onsite environment.

Responsibilities

Design, develop, and maintain scalable microservices-based applications
Build and enhance backend services using Java or Python
Create and improve REST APIs and support system integrations
Implement event-driven solutions using Apache Kafka
Develop data processing and batch solutions (including Spring Batch where applicable)
Work with databases to design efficient queries and optimize application performance
Collaborate with architects, UI developers, QA, and DevOps teams
Participate in design reviews, code reviews, and Agile development activities
Troubleshoot application issues and provide technical solutions
Learn and adopt new technologies as required

Requirements

3+ years of software development experience
Strong experience with Microservices architecture
Strong programming experience in either:
- Java with Spring Boot
- Python with modern backend frameworks
Experience designing and developing RESTful APIs
Experience with distributed systems and service-based architecture
Experience with messaging/event-driven platforms such as Apache Kafka
Strong SQL skills and experience with relational databases (Oracle preferred)
Experience with container technologies such as Docker
Experience deploying applications using OpenShift / Kubernetes
Experience with Azure DevOps, Git, and CI/CD pipelines
Strong skills in debugging, troubleshooting, and performance optimization

Technology Environment

Java / Spring Boot
Python
Microservices
REST APIs
Apache Kafka
Spring Batch
Oracle Database
PostgreSQL
Docker
OpenShift / Kubernetes
Azure DevOps
Git
AI/ML Integration

Preferred Skills

Experience with Spring Boot, Spring Batch, and Java Microservices
Experience with Python Microservices
Experience integrating AI/ML solutions into applications
Experience with PostgreSQL
Experience processing large datasets
Experience building analytics/reporting solutions
Knowledge of cloud-native application development
Manufacturing, Supply Chain, or Industrial domain experience

Location: Pittsburgh, PA (onsite)

Compensation: USD 55 - 65 per hour

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Today

Senior Agentic AI Engineer II - Global Infrastructure

American Express New York, NY

New York, NY

Today

$123k - $215k/yr Full time Senior Agentic Ai Ai Agent

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Job Description

American Express is seeking a Senior Agentic AI Engineer II to join Enterprise Technology Services in New York, NY, supporting a hybrid working model. In this role, you will lead the creation of advanced AI and NLP capabilities, turning business objectives into scalable machine learning solutions while keeping systems compliant and production-ready.

As part of the engineering organization, you will help build and optimize AI/ML frameworks, improve Big Data pipelines, and support team growth through hands-on technical leadership. The position focuses on modern AI architectures, including agentic workflows and large language model systems, with an emphasis on real-world deployment.

Responsibilities

Lead development of advanced AI and machine learning frameworks, including innovative natural language processing models.
Translate complex business requirements into scalable AI/ML solutions.
Optimize Big Data pipelines while ensuring compliance.
Foster growth of individuals on the team through technical leadership and collaboration.

Requirements

Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience.
Advanced degree preferred.
Knowledge of Python and data processing technologies such as Big Data (including Hadoop and Spark).
Knowledge of natural language processing techniques such as fuzzy wuzzy and models including BERT and Transformer models, including real-world applications.
Deep expertise in machine learning, including tradeoffs in model selection, evaluation, and optimization.
Expert-level understanding of modern AI architectures, including LLM systems, agentic workflows, retrieval strategies, and scalable orchestration patterns.
Experience in software development focused on machine learning, generative AI, Big Data, and prompt engineering.
Experience working with large language models (LLMs), particularly GPT-3.5/4 or similar.
Experience with programming languages such as Python, R, Java, or C++.
Experience deploying AI models and pipelines using machine learning operations tools.
Experience with continuous integration/continuous deployment pipelines and containerized deployments.
Experience building and maintaining data pipelines and ETL (extract, transform, load) processes.
Extensive experience architecting and deploying large-scale AI systems in production environments.
Experience leading development of distributed AI platforms, real-time inference systems, and cloud-native AI services.
Advanced expertise in a technical domain with moderate expertise across several domains.
Employment eligibility to work in the United States with American Express is required, as the company will not pursue visa sponsorship for these positions.

Technologies

Python, Hadoop, Spark
fuzzy wuzzy, BERT, Transformer models
LLMs, GPT-3.5/4
agentic workflows, retrieval strategies, scalable orchestration patterns
machine learning operations tools
continuous integration/continuous deployment, containerized deployments
ETL (extract, transform, load)
R, Java, C++
Big Data pipelines

Benefits

Competitive base salaries
Bonus incentives
6% company match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, for pregnancy, adoption, or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through Healthy Minds
Career development and training opportunities

Compensation: USD 123,000 - 215,250 per year.

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1d ago

Quantitative Data Engineer

Canyon Associates Parsippany-Troy Hills, NJ

Parsippany-Troy Hills, NJ

1d ago

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

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Job Description

Quantitative Data Engineer opportunity with a hybrid work setup in Parsippany-Troy Hills, NJ, focused on production development and equity market model implementation.

On-site schedule: required to work 3 days per week on site
Production development: build production workflows and software in Python
Quantitative modeling: implement and manage quantitative models for equity markets

Requirements

Equities / investment systems: experience with equities and/or investment systems
Data & database: SQL and stored procedures
Financial equity data: experience with one or more of Bloomberg, LSEG, Compustat, CapIQ
Education: MS degree
Job type: Full-time
Work location: Hybrid remote in Parsippany-Troy Hills, NJ 07054

Tech Stack

Python
SQL
Stored procedures
Bloomberg
LSEG
Compustat
CapIQ

Compensation

Salary range: 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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1d ago

Senior Data Engineer

Regal Cinemas, Inc Knoxville, TN

Knoxville, TN

1d ago

Full time Senior Apache Airflow Azure Data Factory

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Job Description

Regal Cinemas, Inc is hiring a Senior Data Engineer (Knoxville, TN, hybrid) to lead end-to-end data pipeline and analytics engineering work for machine learning and business intelligence initiatives.

Responsibilities

Design, develop, and maintain robust, scalable, and efficient data pipelines
Build and maintain SQL transformation models in a version-controlled analytics engineering framework (e.g., dbt)
Implement incremental processing strategies and reusable macros within dbt
Architect and implement data models including dimensional models and aggregate models
Provision and maintain warehouse infrastructure as code, including databases, schemas, roles, and grants
Collaborate with enterprise business units to understand and translate data requirements
Optimize systems for performance, scalability, and cost-efficiency (compute sizing and cost/credit budget monitoring)
Ensure data quality and integrity using automated testing, source-to-target reconciliation, freshness monitoring, and documentation
Implement and maintain CI/CD pipelines for data workflows
Implement and maintain data governance and security controls including RBAC, column-level data masking, and support for privacy/compliance requests
Migrate and modernize legacy data and reporting systems onto current platform capabilities
Mentor junior engineers, review peers’ code, and support team knowledge sharing and best practices
Create comprehensive documentation for 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 databases (e.g., SQL Server, MySQL, Amazon RDS), on-premises and/or cloud-hosted
Hands-on experience with a cloud data warehouse platform such as Snowflake
Experience ingesting from non-relational sources including 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 processes, and data warehousing solutions
Experience with a general-purpose programming language and testing/code-quality practices (e.g., Python)
Experience with a SQL transformation/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 including Azure services (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, with ability to document 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

Benefits

Discretionary annual bonus
Free movie passes and discounted concessions at any Regal location
Paid vacation time and sick leave
Eligibility to participate in our 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

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)

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1d ago

Data Engineer Sr

Oshkosh Corporation Oshkosh, WI

Oshkosh, WI

1d ago

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

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Job Description

Oshkosh Corporation’s Advanced Analytics team is looking for a senior Data Engineer in Oshkosh, Wisconsin to help deliver an end-to-end data analytics strategy. This role focuses on acquiring, processing, and applying engineering and service data to support preventive maintenance and intelligent vehicle control, with an emphasis on building reliable CDC and ETL solutions.

You will work on scalable data processing pipelines that feed analytics platforms, partnering across disciplines and business segments while supporting governance, performance tuning, and documentation that enables architectural consistency and delivery planning.

Responsibilities

Design and develop scalable Change Data Capture (CDC) and ETL solutions to move structured and unstructured data from source systems to analytics platforms, supporting both batch and streaming.
Use tools and platforms including Terraform, Spark, Databricks, Snowflake, Git, and Azure infrastructure management (including ADLS Gen2, Azure Compute, Azure Data Factory, AI Foundry, AKS, VPC’s, and Storage Accounts, among others).
Assist with data governance across a data lake and an enterprise data warehouse, including quality and security practices across business segments.
Tune performance for data processes and troubleshoot data processing issues.
Collaborate, coordinate, and communicate across departments, disciplines, and segments.
Develop rapid prototyping and design processes to enable fast delivery to the business.
Maintain reference architecture and documentation to support architectural governance and application roadmaps.
Assist in educating others on data best practices, including data modeling, database design, ETL design, and job scheduling and monitoring.
Support or direct feasibility studies and project estimates for proposed R&D initiatives, including manpower, budget development, and timelines.
Follow supervisory direction on a mutually agreed schedule with minimum mentoring, providing feedback on technical hurdles, progress, and priority alignment to business needs.

Requirements

Bachelor’s degree in computer science, data science, or a related field, plus 4+ years working 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 distribution).
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 including 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 Change Data Capture solutions 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 including MQTT, NiFi, and Kafka.
Automotive or heavy duty on or off-road vehicle experience, including digital data bus knowledge such as Ethernet or Controller Area Network (CAN).
Highly organized with strong critical thinking, analytical, and problem-solving skills; capable of handling multiple tasks in a fast-paced environment.
Excellent interpersonal skills, including ability to present information and respond to leadership and peer questions.

Technologies

Change Data Capture (CDC), ETL
Terraform, Spark, Databricks, Snowflake, Git
Azure infrastructure management, ADLS Gen2, Azure Compute, Azure Data Factory, AI Foundry, AKS, VPC’s, Storage Accounts
AWS, Azure, GCP; Azure Synapse, Data Lake, AWS RedShift, GCP Big Query
GenAI/ML
Qlik Replicate, Striim, Debeezium
Cloudera Hadoop, HDFS, Hive
MQTT, NiFi, Kafka
Ethernet, Controller Area Network (CAN)
SQL, Bash, Python, Anaconda