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2d ago

Data Engineer

ARLINGTON COMMUNITY FEDERAL CREDIT UNION Falls Church, VA

Falls Church, VA

2d ago

$105k - $124k/yr Full time Azure Platform Big Data Bigdata

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Job Description

ARLINGTON COMMUNITY FEDERAL CREDIT UNION is hiring a Data Engineer in Falls Church, VA (onsite) to design and deliver production-ready data capabilities for enterprise reporting, analytics, and future AI initiatives.

Responsibilities

Design, build, and maintain scalable data infrastructure, integration processes, and production-grade data pipelines.
Enable enterprise reporting and advanced analytics while building and evolving modern data platform capabilities for future AI use cases.
Provide reliable, well-governed data to downstream consumers with an emphasis on data quality and data governance.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical field required; Master’s degree preferred.
Equivalent combination of education and experience will be considered.
5–7 years of progressively responsible data engineering experience, including designing and supporting scalable data pipelines, transformation workflows, and modern cloud-based data platforms.
Strong proficiency in Python and SQL required.
Experience with Apache Spark and other data ingestion and orchestration tools strongly preferred.
Experience with distributed data processing frameworks and cloud-based data platforms; Databricks strongly preferred.
Solid understanding of data integration patterns, batch and near-real-time processing, change data capture, and data quality controls.
Experience implementing data governance frameworks, including access controls, lineage tracking, validation, and monitoring practices.
Familiarity with cloud infrastructure, storage, and deployment concepts; platform-specific certification is a plus (e.g., Databricks Certified Data Engineer Professional, Microsoft Certified: Fabric Data Engineer Associate).
Experience in financial services, banking, or credit union environments strongly preferred.
Ability to translate complex technical topics into clear communication for non-technical stakeholders.
Collaborative, team-focused approach and ability to partner with analysts, business stakeholders, and IT teams.

Technologies

Python
SQL
Apache Spark
Databricks
Microsoft Certified: Fabric Data Engineer Associate
Databricks Certified Data Engineer Professional

Salary

USD 105,466 - 124,078 per yearly

Benefits

Medical, dental, vision, life, short-term and long-term disability insurance
401(k) plan
Profit sharing
Paid holidays
Paid time off
Pet insurance!
Culture day
Birthday off with pay
Volunteer leave
Tuition reimbursement
Business casual dress environment
Discounted gym membership
Discounted loans
Employee referral bonus program
Exciting employee engagement events

What you can expect from COFCU

A fun work environment
Emphasis on service, integrity, and building relationships
Commitment to celebrating internal and external opportunities and supporting the communities served

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2d ago

Data Engineer- Analytics

BITCO INSURANCE COMPANIES Davenport, IA

Davenport, IA

2d ago

Full time Artificial Intelligence Azure Synapse Analytics Cloud

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Job Description

At BITCO INSURANCE COMPANIES, the Data Engineer - Analytics role focuses on building and maturing the organization’s Data Services so internal business teams can use data securely and efficiently. Working in a hybrid setup from Davenport, IA, you will develop analysis and reporting in a cloud-based environment with an emphasis on data storytelling, actionable insights, and modernization.

What you’ll do

Collaborate with Project Managers, Business Leaders, Analysts, and stakeholders to translate analysis needs into clear data requirements and scalable solutions.
Help drive strategic data and analytics initiatives that enable curated self-service data consumption for key business areas and impactful insights.
Integrate data-driven insights and analysis from multiple sources to support decisions across functional areas and along product, program, customer, and risk dimensions.
Create analysis frameworks that support agile insight delivery while maintaining quality and helping inform strategy.
Partner across operational and support functions to build scalable data-based solutions tied to improving metrics and OKRs.
Work with business leaders to interpret market drivers, OKRs, and products so insights are understandable to other teams.
Perform trend analysis and reviews, draft executive outlines, and recommend strategic changes based on data for non-technical leadership.
Apply statistical modeling, Natural Language Processing, and GenAI/AIML modeling as part of data and analytics work.
Implement automated data quality checks and validation processes to protect integrity and accuracy at scale.
Design, build, and maintain robust reporting packages sourcing from the data warehouse and analytics marts, ensuring scalability and efficiency.
Support reliability, availability, and scalability of reporting and analysis performance, optimizing as data volumes grow.
Ensure data integrity, accuracy, and reliability across warehouse, data marts, and reporting layers.
Use Power BI to build reports, dashboards, and visualizations that stakeholders can act on.
Troubleshoot data issues by identifying root causes and implementing timely fixes to reduce business impact.
Create and maintain design documents and documentation for reporting pipelines, semantic models, and related processes.
Stay current with emerging technologies and trends in reporting and data analysis, recommending and implementing improvements for scalability and growth.
Coordinate with business units to identify and interpret data needs and suggest innovative ways to consume and analyze data.
Create reusable templates, including Power BI semantic models, to help other Data Services and IT personnel in their reporting efforts.
Perform other assigned duties.

What you bring

Legally authorized to work in the United States.
3+ years of proven experience as a Data Analyst or similar reporting role, with strong grounding in data analysis, reporting, and statistics.
Experience focused on data storytelling, report development, and in-depth data analysis.
Strong understanding of data reporting models and communication.
Proficiency in Power BI or similar reporting tools, SQL, and experience working with relational databases.
Familiarity with data warehousing concepts and tools such as Snowflake or Microsoft Synapse.
Experience with data modeling, semantic model design, and optimization techniques for scalability.
Strong analytical and problem-solving skills, including troubleshooting complex data issues.
Excellent communication and collaboration skills for effective teamwork.
Self-motivated, proactive approach with a focus on continuous learning and professional development.

Key technologies

Power BI, SQL, Snowflake, Microsoft Synapse
Natural Language Processing, GenAI, AIML modeling
Data warehouse, analytics marts, semantic models

Location / work arrangement

Home Office: Davenport, IA
Hybrid work arrangement, combining flexibility with meaningful in-person collaboration

Benefits

Competitive salary with a comprehensive benefits package
Generous paid time off and 12 paid holidays annually
Comprehensive health coverage including medical, dental, and vision plans
Accident, critical illness, and hospital indemnity insurance coverage
Company-paid life insurance equal to 2× annual salary
Company-paid short-term and long-term disability coverage
401(k) Savings and Profit-Sharing Plan through Old Republic
Ongoing education, training, and professional development opportunities
Support for industry certifications and insurance designations, including financial assistance
Opportunities to give back through corporate philanthropy and community service initiatives
Optional benefits including travel, commuter, and pet insurance
Employee wellness support through a dedicated fitness program

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2d ago

Data Analytics Engineer

EXL Service San Francisco, CA

San Francisco, CA

2d ago

$140k - $155k/yr Full time Analytics Apache Airflow AWS

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Job Description

EXL Service is seeking an experienced Data Analytics Engineer to design, build, and optimize scalable data pipelines and analytics infrastructure that support financial products and decision-making. The role blends ETL/ELT engineering with cloud-native workflow orchestration and deep SQL and PySpark expertise within a regulated environment.

This position is based in San Francisco, CA (onsite) and offers a salary range of USD 140,000 - 155,000 per year. The ideal candidate will bring 5+ years of relevant experience and advanced data engineering skills across the analytics data stack.

Responsibilities

Design, build, and maintain scalable ETL/ELT data pipelines across cloud and on-prem sources, ensuring data quality, lineage, and auditability.
Develop and optimize Python/PySpark and SQL transformations for large-scale, high-volume financial datasets.
Architect and operate data pipeline orchestration using tools such as Airflow, Databricks Workflows, and Step Functions to automate ingestion, transformation, and delivery.
Build and maintain CI/CD pipelines with GitHub and GitHub Actions to enable automated testing, deployment, and version-controlled infrastructure changes.
Develop AWS-based solutions using S3, Glue, EMR, Redshift, Lambda, and IAM to support analytics, reporting, and downstream ML use cases.
Deploy and manage infrastructure and pipelines as code, applying best practices for environment promotion, rollback, and monitoring.
Monitor and troubleshoot pipeline performance, query efficiency, and cost across the data stack.
Collaborate with data scientists, analysts, product, and risk/compliance teams to translate requirements into robust data solutions.
Apply data governance, security, and regulatory compliance standards for financial data, including PII, SOX, and PCI.
Document pipeline architecture, data models, and processes; contribute to engineering standards and code review practices.

Requirements

Advanced proficiency in Python for scripting, automation, and data engineering workflows.
Hands-on experience with PySpark for distributed processing at scale.
Expert-level SQL, including advanced SQL capabilities such as window functions, query optimization, complex joins, and performance tuning.
Solid experience with AWS services and cloud application/data development, including S3, Glue, EMR, Redshift, Lambda, IAM, and CloudWatch.
Proven expertise building and orchestrating data pipelines using Airflow, Databricks Workflows, Step Functions, or equivalent.
Hands-on CI/CD experience with GitHub / GitHub Actions for automated build, test, and deployment.
Deep understanding of ETL/ELT design patterns, data modeling, and data warehousing concepts.
Experience deploying infrastructure and pipelines via code (for example, version-controlled deployments).
Demonstrated ability to optimize pipeline performance, query execution, and cloud resource and cost efficiency.
Bachelor’s degree in computer science, Engineering, Data Science, or a related field (or equivalent practical experience).
5+ years of experience in data engineering, analytics engineering, or a related technical role.
Prior experience in banking, fintech, or financial services, with awareness of regulatory and data-security requirements.

Technologies

Python, PySpark, SQL
Amazon Web Services (AWS): S3, Glue, EMR, Redshift, Lambda, IAM, CloudWatch
Airflow, Databricks Workflows, Step Functions
GitHub, GitHub Actions
ETL, ELT, Terraform, CloudFormation
Kafka, Kinesis, Spark Structured Streaming
Great Expectations, dbt
Databricks, Delta Lake, Unity Catalog, notebooks

Preferred / Desired Skills (Nice to Have)

Hands-on experience with Databricks, including Delta Lake, Unity Catalog, notebooks, and cluster optimization.
Familiarity with Terraform or CloudFormation for infrastructure as code.
Experience with streaming technologies such as Kafka, Kinesis, and Spark Structured Streaming.
Exposure to data quality and testing frameworks including Great Expectations and dbt tests.
Knowledge of dbt for transformation and analytics engineering workflows.
Understanding of financial data domains such as payments, lending, risk, fraud, or accounting data.
Relevant certifications including AWS Certified Data Analytics / Solutions Architect and Databricks Certified Data Engineer.

Soft Skills

Strong analytical and problem-solving skills with attention to detail and data accuracy.
Excellent communication skills, including translating technical concepts for non-technical stakeholders.
Collaborative mindset with experience working cross-functionally with analysts, engineers, and business teams.
Self-directed approach and comfort owning projects end-to-end in a fast-paced, regulated environment.
Strong ownership mentality around data quality, reliability, and documentation.

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2d ago

Data Engineer - Enterprise Data Engineering & Analytics

MD Anderson Houston, TX

Houston, TX

2d ago

$107k - $160k/yr Full time Big Data Bigdata Data

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Job Description

The Data Engineer position within MD Anderson’s Enterprise Data Engineering & Analytics Department supports the design, build, and operationalization of integrated data pipelines and analytics solutions using the Context Engine framework. The role focuses on secure, governed, and reusable enterprise data assets that enable clinical, research, and operational analytics.

Responsibilities

Participate in end-to-end solution delivery that increases institutional information capabilities and realizes data value across the organization
Build and test end-to-end data pipelines across ingestion, curation, transformation, modeling, and consumption within the Context Engine framework
Integrate data governance processes covering data provenance, security, data quality, ontology, and metadata management
Collaborate with IS, Data Offices, and Data Governance teams on planning, architecture, analysis, design, and build of data pipelines
Contribute to existing data pipelines supporting acquisition, integration, and consumption for defined use cases
Build data curation pipelines including profiling, specification creation, cleansing, transforming, standardizing, mastering, harmonizing, validating, and aggregating data
Monitor and support data quality across the Context Engine
Use repeatable solution designs and data models to support reuse and scalability
Promote effective enterprise data management practices and improved understanding of analytics across the organization
Adhere to IS division standard operating procedures and all MD Anderson policies
Maintain build standards and governance oversight sign-off aligned with institutional data strategy
Prepare documentation for enhancements or new technology
Perform quality control, testing, and peer review of analytics builds
Support system updates, releases, change control processes, and after-hours support as required
Train data scientists, analysts, end users, and data consumers on data pipelining and preparation techniques
Assist in establishing training plans and curricula for Context Engine tools and deliver institutional, department, and one-on-one training on EDEA deliverables
Support liaison relationships with customers and OneIS partners to deliver technical solutions
Explore and promote modern tools, techniques, and architectures to automate data preparation and integration tasks and improve productivity by reducing manual and error-prone processes
Model OneIS values including integrity, partnership, quality, and continuous improvement

Requirements

Bachelor’s Degree
2 years clinical, relevant healthcare information technology, or relevant business experience, or with a preferred degree and no experience required
May substitute required education with years of related experience on a one-to-one basis
EPIC requirement: EPIC Certification must be obtained, including at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic, within 180 days
Must pass a pre-employment skills test as required and administered by Human Resources

Technologies

Context Engine framework
Python
Spark
Large Language Models (LLMs)
Foundry
Fabric
EPIC Cogito
Clarity
Caboodle
Clinical Data Model
Epic Data Model (Clinical, Access, Revenue)

Benefits

Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance
Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options
Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups
Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs

Position Information

Requisition ID: 182426
Employment Status: Full-Time
Employee Status: Regular
Work Week: Days
FLSA: Exempt and not eligible for overtime pay
Fund Type: Hard
Pivotal Position: Yes
Referral Bonus Available: Yes
Relocation Assistance Available: Yes
Work location: Houston, Texas (onsite) with an additional option for remote work within Texas only (#LI-Remote)
Work location preference: Prefer a candidate in Houston, Texas or surrounding area
Salary range (40-hour work week): Minimum $106,500, Midpoint $133,000, Maximum $159,500

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3d ago

Security Engineer

Addition Financial Credit Union Lake Mary, FL

Lake Mary, FL

3d ago

Full time Cybersecurity Cybersecurity Tools Data Security

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Job Description

Addition Financial Credit Union is hiring a Security Engineer to help keep banking systems secure, highly available, and aligned with regulatory requirements. This onsite role in Lake Mary, FL partners closely with IT professionals to safeguard network and data, build security capabilities, and manage incidents when they occur.

The Security Engineer will focus on designing protective controls, monitoring for threats, and reducing the likelihood and impact of security events. The position includes responsibilities that support compliance, tooling, policy management, employee security awareness, and coordination with internal teams and outside vendors.

Responsibilities

Design and implement security protocols to protect banking systems and data.
Conduct regular security audits and risk assessments.
Develop and maintain security tools, including firewalls, intrusion detection systems, and encryption technologies.
Monitor network traffic for unusual activity and respond to security breaches.
Provide guidance on security best practices and compliance requirements.
Anticipate security alerts, incidents, and disasters to reduce their likelihood.
Analyze and respond to security events to determine root cause, including participation in an on-call rotation and after-hours support when appropriate.
Recommend and install appropriate tools and countermeasures.
Define, implement, and maintain corporate security policies.
Train employees on security awareness and procedures.
Coordinate security plans with outside vendors.
Work with IT Management on the annual security budget.

Requirements

5+ years of experience.
High School diploma or equivalent.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team environment.

Certifications

CISSP (Certified Information Systems Security Professional)
CISM (Certified Information Security Manager)
GSEC (GIAC Security Essentials) is preferred

Benefits

401k with profit sharing contribution
Comprehensive medical, dental, and vision coverage from leading insurance providers
Continuing education and up to $5,000 in tuition assistance annually
Generous vacation and sick pay
Paid parental leave and volunteer time off
Major holidays off, including Federal holidays that many other industries do not observe
Credit union benefits including reduced consumer/mortgage loan rates, free checks, and other financial services discounts

Physical and Mental Demands

Sitting for long periods at a time.
Regular requirement to talk or listen.
Occasional lifting of office supplies up to 20 lbs.
Vision abilities including close vision and ability to adjust focus.
Must understand and follow clear oral and/or written procedures without deviation.
Performs repetitive routine tasks.
Withstands moderate amounts of stress and adheres to a provided work schedule.
Tasks vary little day to day and require limited judgment while implementing others’ decisions/procedures.
Must relay information orally.

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3d ago

Product Security Engineer - AI Trainer

DataAnnotation Albuquerque, NM 🇺🇸 Remote

Albuquerque, NM

3d ago

$50 - $100/hr Contract Adversarial Ai Security Evaluation Ai Security Information Security

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Job Description

Join a remote, contract role helping advance how AI models understand and handle cybersecurity. As a Product Security Engineer - AI Trainer, you will evaluate AI-generated security content and work on security-focused technical problems that directly support the next generation of AI security models. This position is paid hourly and completed using your own computer, with the flexibility to choose which projects you take on and when you work.

Location: New Mexico (remote). Job type: contract. Compensation: $50 to $100 USD per hour.

What you will do

Evaluate AI-generated cybersecurity content, including threat analysis, vulnerability assessments, and offensive security techniques, to confirm real-world accuracy and validity.
Design and solve security-focused technical problems that are used to train AI systems.
Produce clear technical explanations and security-relevant code.
Provide feedback that helps shape the quality and direction of future AI security models.

What you bring

2+ years of hands-on experience in a cybersecurity role such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent work, including government or military cyber operations.
Coding experience is required, with comfort navigating and patching a codebase.
English fluency (native or bilingual level) and strong technical writing skills.
Bachelor’s degree preferred.
Cybersecurity certifications are a plus, such as OSCP, CRTO, GREM, GCFA, CEH, and similar credentials.

Benefits and logistics

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, or New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive hourly pay: $50 to $100 USD per hour, paid hourly through the platform.
Potential for higher bonus rates on certain projects.
Impact: help shape AI technologies built for cybersecurity.

Payment details: Payment is made via PayPal. Note: DataAnnotation will never ask for any money from you.

Eligibility: This job is only available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

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3d ago

Cloud Security Engineer - AI Trainer

DataAnnotation Augusta, GA 🇺🇸 Remote

Augusta, GA

3d ago

$50 - $100/hr Contract Adversarial Ai Security Ai Security Ai Training

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Job Description

DataAnnotation is hiring a Cloud Security Engineer - AI Trainer to support the training of AI models focused on cybersecurity. In this remote contract role, you will review AI-generated cybersecurity content and provide feedback that helps guide more reliable and accurate AI security reasoning.

The work is designed to be flexible, letting you choose which projects to take on and when to work, using your own computer. The role is available to qualified candidates in supported countries.

Responsibilities

Evaluate AI-generated cybersecurity content, including threat analysis, vulnerability assessments, and offensive security techniques, with an emphasis on real-world accuracy and validity.
Design and solve security-focused technical problems that are used to train AI systems.
Write clear technical explanations along with security-relevant code.
Provide feedback that directly influences the next generation of AI security models.

Requirements

2+ years of hands-on experience in a cybersecurity role such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent work, including government or military cyber operations.
Coding experience required, with comfort navigating and patching a codebase.
English fluency at native or bilingual level, with strong writing skills.
Bachelor’s degree preferred.
Certifications are a plus (examples include OSCP, CRTO, GREM, GCFA, CEH, and similar).

Location, Schedule, and Pay

Location: Augusta, GA (remote)
Job type: contract
Remote availability: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand
Flexible schedule: choose which projects you take on and when you work
Compensation: projects are paid hourly at $50 to $100 USD per hour
Bonuses: higher bonus rates may be available for certain projects

Benefits and Payment

Competitive pay with hourly project-based compensation
Impact: help shape AI technologies built for cybersecurity
Payment method: payments are made via PayPal
Contractor support: fully remote work using your own computer

Important Notes

We will never ask for any money from you.
This job is only available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.
Payment is made via PayPal.