Airflow Jobs in Charlotte.
All active Airflow roles based in Charlotte.
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Senior Data Engineer
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Senior Data Engineer – Data Architecture & Platform
CPI Security, a national leader in residential and commercial security solutions, is seeking a Senior Data Engineer transitioning into Data Architecture to join us on our data transformational journey. This unique role combines hands-on data engineering (70%) with architectural design and governance (30%), ideal for a technical expert ready to shape our enterprise data strategy while remaining deeply involved in implementation. You'll work directly with line of business leaders and technical users to architect and build our cloud data warehouse using data vault 2.0 modeling and dbt. This is a technical, hands-on role, not a pure architecture position, where you'll mentor junior engineers on a lean team while personally implementing the solutions you design.
This is an on-site position at our HQ in Charlotte, NC.
What You'll Do
This role balances architectural design with hands-on implementation. You'll spend approximately 70% of your time coding, building pipelines, and implementing solutions, while dedicating 30% to architectural design, standards definition, and technical guidance. On our lean team, everyone contributes technically, this isn't about drawing boxes, it's about designing it AND building it. You must be comfortable in the IDE daily, working alongside engineers and providing mentorship through code reviews, pair programming, and technical guidance.
Data Architecture & Design
Define and document reference architectures, design patterns, and standards for the enterprise data platform. Create technical design documentation, data flow diagrams, and architectural decision records (ADRs) while remaining actively involved in hands-on implementation. Establish data modeling standards, naming conventions, and best practices across the platform.
Architecture Governance
Establish and maintain data modeling standards, design patterns, and architectural guidelines. Review and approve technical designs to ensure alignment with architectural principles and enterprise standards. Collaborate with stakeholders to define data governance policies and ensure compliance with security requirements.
Technical Mentorship & Collaboration
Provide architectural guidance and hands-on mentorship to engineers through code reviews, pair programming, and technical design sessions. Share expertise in data vault modeling, dbt development, and cloud data engineering best practices. Foster a culture of technical excellence and continuous learning within the team. Work collaboratively on our small team where everyone contributes to solving complex technical challenges.
Data Vault Implementation
Design and implement data vault 2.0 modeling patterns to build a scalable, audit-friendly enterprise data platform that supports business agility and data governance.
Modern Data Engineering
Build and maintain automated data pipelines using dbt (Cloud/Core), Python, and Snowflake to transform raw data into business-ready datasets with comprehensive data quality testing.
Cloud Data Platform Development
Architect and implement an enterprise data platform on Snowflake, including automated deployment pipelines, data quality frameworks, and monitoring solutions. While we are modernizing to a cloud data platform, on-premises work is still needed using SSIS and MSSQL Server during the migration phase.
Data Mart & Dimensional Modeling
Design and build data marts using dimensional modeling techniques (Kimball methodology) to support business intelligence and analytics requirements.
ETL/ELT Pipeline Development
Design and implement robust data transformation models using dbt, SQL, and Python to build scalable ingestion and processing pipelines.
Data Quality & Testing
Implement comprehensive data quality testing frameworks using dbt tests, custom Python validations, and automated monitoring to ensure data accuracy and reliability.
External Data Integration
Integrate and operationalize data from external systems such as CRM, ERP, and third-party platforms via secure cloud data sharing, CDC, and APIs.
DataOps Implementation
Enable reliable, scalable, and automated data workflows by implementing DataOps best practices for continuous integration, testing, deployment, and monitoring across the data pipeline lifecycle. Establish and maintain Snowflake security governance through role-based access control (RBAC), including the design and management of role hierarchies, privilege grants, and object-level permissions to enforce least-privilege principles across all data assets. Define and enforce data access policies for users, service accounts, and downstream consumers by leveraging Snowflake's virtual warehouses, resource monitors, row-level security, and dynamic data masking to ensure compliant and auditable data access at scale.
Cloud Migration Support
Play an integral role in planning, designing, and implementing data migration strategies from legacy on-premises SQL Server systems to our modern Snowflake cloud platform.
What We're Looking For
Required Experience
- 6+ years of data engineering experience with cloud data platforms
- 4+ years of experience with Snowflake (required)
- 4+ years of experience with dbt (Cloud and/or Core)
- 4+ years of Python development experience
- 4+ years of AWS experience (AWS Certified Developer preferred)
- 6+ years of experience building data warehouses and data marts
- Experience using Data Vault 2.0 modeling methodology
- Strong experience with dimensional modeling (Kimball methodology)
- Proven experience with automated deployment and CI/CD pipelines
- Experience implementing data quality testing frameworks
- Experience designing data architectures and creating technical documentation (data models, architecture diagrams, design patterns, ADRs)
- Proven ability to balance architectural thinking with hands-on implementation
- Experience mentoring and guiding junior/mid-level engineers through technical collaboration
Technical Skills
- MSSQL Server SQL and SSIS
- Advanced SQL and data modeling expertise with dimensional modeling and data vault modeling
- Strong dbt skills for data staging, cleaning, transformation, testing, and modeling
- Proficiency in Python programming for data engineering tasks
- Experience with agile/scrum teams for data engineering and analytics engineering
- AWS cloud services (S3, Lambda, IAM, CloudFormation, etc.)
- Experience with data orchestration tools (Airflow, Prefect, or similar)
- Understanding of modern data engineering practices and agile methodologies
- Knowledge of data governance, security, and compliance requirements
Preferred Qualifications
- AWS Certified Developer certification
- Snowflake certifications in data engineering and/or architecture
- Experience with data vault automation tools (automate-dv package)
- Knowledge of modern BI and analytics platforms
Soft Skills
- Excellent oral and written communication skills to effectively deliver messages to a wide range of audiences, from business to technical
- Innovative and positive team member mindset
- Strong teamwork and interpersonal skills, with the ability to deliver results working independently or in a collaborative environment
- Agile development experience preferred
- Solution-oriented approach with strong problem-solving abilities
Education
- Bachelor's degree in Information Systems, Computer Science, Data Science, or related field of study preferred
- Work experience equivalent will be considered
What Sets You Apart
- Deep understanding of the complete data engineering lifecycle
- Architectural design experience combined with strong implementation skills
- Experience with cloud data platform implementations and migrations
- Proven ability to work with cross-functional teams and stakeholders
- Passion for building modern, cloud-first data solutions
- Strong analytical and critical thinking skills
- Commitment to data quality and best practices
Why Join CPI Security
- Opportunity to architect and build a modern enterprise data platform during an active transformation
- Work with cutting-edge cloud technologies and data vault modeling
- Lead technical design while remaining hands-on with implementation
- Collaborative environment with experienced data professionals on a lean, high-impact team
- Competitive compensation and benefits package
- Professional development opportunities and certification support
- On-site position in Charlotte, NC with a dynamic, growing company
CPI Security is an equal opportunity employer committed to diversity and inclusion in the workplace.
Ready to apply?
Apply to CPI Security
Senior Staff Data Scientist, Borrow
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Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role
The Borrow Data Science team is seeking a Senior Staff Data Scientist who will help support growth in our Home Loans business by improving SoFi’s ability to execute with data. This is an exciting role for someone to leverage their analytical skills to create robust reporting, identify growth opportunities and insights, and build ML models using Snowflake, Airflow, dbt, and Sagemaker.
As a Senior Staff Data Scientist, you will serve as a data leader, balancing urgent requests, and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will be a technical leader, helping the team build reliable, efficient, and scalable data foundations. You will create a culture of strong technical ownership, documenting your approach and ideas to socialize, resulting in strategies that have a wide impact within the organization. You will perform analytical deep-dives to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps.
In this role, you'll use your expertise in data analysis, statistical modeling, and machine learning to uncover insights that will directly influence product strategy and revenue growth. This role demands a strong technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and exceptional collaboration skills.
Additionally, you are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them.
What you’ll do:
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Identify high impact business opportunities to help members achieve their financial goals
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Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation.
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Develop and apply machine learning models to solve business problems
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Evaluate and interpret the results of data analysis
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Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders.
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Design and implement data collection. Build data pipelines to deploy production level datasets.
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Collaborate with cross-functional teams and business leaders to understand needs and offer data-driven solutions
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Act as a technical leader by mentoring and supporting the growth of less experienced team members.
What you’ll need:
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Masters’ or above in quantitative areas: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
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10+ years of relevant experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company
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Proven track record of being able to work independently, and proactively engaging with business stakeholders with minimal direction and drive measurable business impact.
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Experience with using Airflow and DBT to build Data Pipelines in Snowflake
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Strong programming skills in SQL and Python
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Experience with building data visualizations with Tableau, Looker or other BI tools
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Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics.
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Ability to work in a dynamic, cross-functional environment, with a strong attention to detail;
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Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;
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Strong relationship building and collaborative skills;
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Exceptional problem-solving
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Ready to apply?
Apply to SoFi
SQL Operations Engineer
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PLEASE NOTE: This position ideally works a hybrid schedule in Charlotte, NC. (Tuesday-Thursday in-office). Strong preference for candidates who are in Charlotte, NC, or willing to relocate.
About the Role
LendingTree is seeking a SQL Operations Engineer to join our Platform Operations team. You will automate, scale, and support our cloud-based data ecosystem (Snowflake, AWS/Azure). This is a hands-on role focused on eliminating operational toil through CI/CD, robust monitoring, and automation-first engineering.
Key Responsibilities
- Snowflake Administration: Manage environments, security policies (RBAC), and performance tuning; optimize cost and query efficiency.
- Platform Automation: Build and maintain CI/CD pipelines for database deployments using GitLab and tools like Liquibase or Red Gate.
- Cloud Integration: Support integrations between Snowflake and AWS/Azure services, including object storage, messaging, and serverless functions (Lambda/Azure Functions).
- Pipeline & Streaming Ops: Maintain batch and streaming (Confluent Kafka) architectures; troubleshoot ETL/ELT failures and ensure data observability.
- Security & Reliability: Implement logging, auditing, and IAM controls; participate in incident response and root cause analysis (RCA).
- Collaboration: Partner with Data Engineering and Stakeholders to translate business needs into scalable technical solutions.
Required Qualifications
- Expertise: Deep hands-on experience with Snowflake administration and database performance tuning.
- Cloud & DevOps: Proficiency in AWS or Azure and building CI/CD pipelines for data platforms.
- Data Flow: Experience supporting Kafka (streaming) and ETL/ELT workflows.
- Technical Skills: Strong scripting skills (Python, SQL, or Bash) and familiarity with Git-based workflows.
- Troubleshooting: Proven ability to diagnose complex issues across distributed cloud systems.
Preferred Qualifications
- Experience with Infrastructure-as-Code (Terraform/CloudFormation).
- Familiarity with orchestration tools like Airflow.
- Experience with event-driven or serverless architectures.
- Knowledge of cloud cost optimization and observability tools.
What Success Looks Like
You are an automation-first engineer who thrives on ownership. You don't just "fix" problems—you build systems that prevent them. You are a clear communicator who balances technical excellence with a focus on security and reliability.
ABOUT LENDINGTREE
LendingTree is the nation’s leading online lending marketplace. We connect consumers with multiple lenders so they can easily compare options and find the right fit — from mortgages and personal loans to credit, savings, and insurance products.
Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating house-hunting experience. What began as a simple idea to make loan shopping easier has grown into a platform that empowers millions of people to make smarter financial decisions every day.
What else you should know:
- We’re a publicly traded company (NASDAQ: TREE).
- We’ve welcomed several other companies into the LendingTree family to expand our reach and capabilities.
- We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.
- We’re also committed to giving back — through philanthropic programs, volunteer opportunities, and partnerships that strengthen the communities where we live and work.
OUR CULTURE
We’re a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you’ll meet — and we celebrate innovation, inclusion, and ownership. At LendingTree, you’ll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another — with the flexibility and trust that help you thrive both personally and professionally.
We’re proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes — we still have fun doing it (our “GSD – Get Stuff Done” award is a fan favorite!)
Come grow with us, make an impact, and be part of a company that truly cares about its people and its community.
LendingTree is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status.
Ready to apply?
Apply to LendingTree