Sr. Developer, Data Analytics

Elevate; Dallas (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology company is seeking a Senior Developer in Dallas, Texas, to design and build scalable data pipelines within a fast-paced data analytics environment. The ideal candidate will have over six years of experience in data engineering, expertise in Snowflake, and proficiency in SQL and data integration tools. This role requires collaboration with Analytics and Data Science teams to drive data-driven insights and innovation within the organization.

Qualifications

• 6+ years of professional experience in data engineering.
• Expertise with ETL, ELT, and streaming data pipelines.
• 3+ years of hands-on experience using Snowflake.

Responsibilities

• Design, build, and maintain scalable data pipelines and transformations.
• Collaborate closely with Analytics and Data Science teams.
• Address performance or data quality issues.

Skills

SQL

Data integration solutions

Communication with business users

Problem-solving

Education

Bachelor’s Degree in Computer Science, MIS, Mathematics or related field

Tools

Snowflake

Informatica

Azure DevOps

Job description

Sr. Developer – Elevate

Under the supervision of the Manager of Analytics, the Senior Developer works with developers, business analysts, and business partners in a fast‑paced delivery environment for data and analytics. The Senior Developer is responsible for designing, building, and optimizing enterprise‑grade data pipelines, analytical data models, and machine‑learning‑ready datasets within our Snowflake ecosystem. This role serves as a bridge between Data Engineering, Analytics, and Data Science, enabling high‑quality insight creation and data‑driven innovation across the organization. The Senior Developer has deep experience with modern cloud data platforms, advanced SQL development, data modeling, AI/ML integration, and business intelligence solutions.

Principal Duties and Responsibilities

• Design, build, and maintain scalable data pipelines, transformations, and models in Snowflake, ensuring performance, reliability, and optimal storage patterns.
• Collaborate closely with Analytics and Data Science teams to enable advanced analytics, experimentation frameworks, and model monitoring.
• Advanced data design, analysis, and profiling.
• Understand, create, and implement process design and target data models.
• Partner with business stakeholders, data scientists, and analysts to translate requirements into well‑governed datasets and analytical assets.
• Develop, test, debug, and document data structures, data schemas, and data processes.
• Address performance or data quality issues.
• Data mining, auditing, aggregation, validation, and reconciliation.
• Support operational excellence through monitoring, automated testing, CI/CD deployment practices, and DataOps principles.
• Agile ceremonies: code reviews, sprint reviews/commitments, sprint planning.

Experience

• Bachelor’s Degree in Computer Science, MIS, Mathematics or related field.
• 6+ years of professional experience in data engineering in data warehouse, big data, and analytics areas.
• Expertise with ETL, ELT, and streaming data pipelines and related tools and technologies.
• 3+ years of hands‑on experience using Snowflake or other relational data stores.
• Advanced experience with semi‑structured document processing such as XML & JSON.
• Advanced experience with programming and scripting using bash, Python, Perl, etc.
• Knowledge of data warehouse concepts including the use of dimensional modeling and schema designs.
• Advanced experience with performance tuning of SQL queries.
• Thorough understanding of systems analysis and design, SDLC.
• Ability to analyze complex applications and systems with minimal supervision.
• Strong problem‑solving skills.
• Experience with CI/CD (Azure DevOps preferred), version control, and automated deployment frameworks.
• Prior work in fintech, risk analytics, consumer lending, or highly regulated environments is strongly preferred.

Skills and Abilities

• Ability to effectively communicate with business users to understand business processes.
• Highly proficient in analyzing business objectives and requirements.
• Skills in design and development of efficient data integration solutions.
• Ability to design and maintain scalable data architectures that support analytics, operational insights, and machine learning.
• Experience with data integration tools such as Informatica, Matillion, Streamsets, or similar tools.
• Highly proficient in SQL.
• Ability to analyze business and system processes to support solution development.
• Understanding and ability to manage through an enterprise‑wide project/solution impacts, issues, and risks.
• Ability to manage across company teams to ensure collaboration in support of high‑quality solutions.
• Familiarity with AI/LLM integration patterns (feature engineering, inference pipelines, embeddings, and ML frameworks).
• Strong verbal and written communication and presentation skills.
• Advanced experience with Visio and related design/flow tools. Fluent with Microsoft Excel, Word, and Outlook. Medium skill level with MS Project.
• Comfortable in a fast‑paced and cutting‑edge development environment.

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Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology