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Senior Data Integration Developer Jobs in Pflugerville, TX

Lower LLC

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers ... Familiarity with data integration patterns, including APIs, SFTP transfers, file-based ingestion ...

1 point system

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

We're looking for a Senior Data Engineer to design and deliver modern ELT pipelines, scalable architectures, and analytics-ready datasets that accelerate engineers, analysts, and data scientists. You ...

Q2

Senior Data Intelligence Solutions Architect

Austin, TX

$66.75 - $89.25/hr

... Engineering, Delivery, Workforce Management, and Customer Health initiatives. As part of the E3 ... Build and maintain enterprise data models, integrations, and pipelines across operational platforms ...

Smadex

Senior Data Scientist

Austin, TX · On-site

They are seeking a Senior Data Scientist to analyze complex data sets and collaborate with the ML ... Field (Engineering, Statistics, Mathematics, Data Science). • Strong problem-solving skills ...

SpyCloud

Senior Data Engineer

Austin, TX · On-site

$144K - $187K/yr

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data systems, working closely with Product Management, SpyCloud Labs, and Engineering teams. Your focus ...

Sarian, Inc.

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Role: Sr. Snowflake Data Engineer Location: Austin, TX - Fulltime Position Minimum Qualifications: * Expert level fluency with Snowflake, SQL, Tableau, and Python is required. * Experience with data ...

Roku

Senior Data Engineer

Austin, TX

$105K - $142K/yr

As a Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capture different business metrics across different Roku Devices. About the role ...

Overhaul Group Inc

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Job Summary We are seeking an experienced and passionate Senior Data Engineer to join our Data Platform team. You will be joining a small team responsible for architecting, building, and maintaining ...

Roku

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

About the role As a Senior Data Engineer on the Viewer Product Data Engineering team, you will play a pivotal role in designing data models and building scalable pipelines to capture business metrics ...

Planview Incorporated

Sr. Data Scientist

Austin, TX · On-site

... integrate data science, optimization, and simulation capabilities within Planview's planning ... Master's degree in Industrial Engineering, Operations Research, Statistics, Data Science, or a ...

Planview Incorporated

Sr. Data Scientist

Austin, TX · Hybrid

... integrate data science, optimization, and simulation capabilities within Planview's planning ... Master's degree in Industrial Engineering, Operations Research, Statistics, Data Science, or a ...

Armaninollp

Senior Data & AI Platform Engineer

Austin, TX · On-site

$66.75 - $89.25/hr

We want you to integrate all aspects of your life with your career. At Armanino, we know you don't ... DevOps & Deployment * Design, build, and own CI/CD workflows for data and analytics assets ...

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Senior Data Integration Developer information

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How much do senior data integration developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for senior data integration developer in Pflugerville, TX is $57.76, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $64.23 per hour, depending on experience, location, and employer.

What are some common challenges senior data integration developers face when working on large-scale projects?

Senior Data Integration Developers often encounter challenges related to managing complex data sources, ensuring data quality, and maintaining system performance as data volumes grow. Coordinating across multiple teams, such as database administrators, data architects, and business analysts, requires excellent communication and project management skills. Additionally, adapting to evolving technology stacks and integrating new tools can add complexity, making it essential to stay updated on industry best practices. Overcoming these challenges is key to delivering reliable, scalable integration solutions.

What is a senior data integration developer?

Senior Data Integration Developers are experienced IT professionals who design, develop, and maintain data integration solutions across multiple systems and platforms. They are responsible for ensuring that data from various sources is accurately collected, transformed, and loaded (ETL) to support business intelligence, analytics, and operational needs. In addition to technical expertise in data integration tools and programming, they often lead projects, mentor junior developers, and collaborate with stakeholders to optimize data workflows. Their work is critical for enabling organizations to leverage data for informed decision-making.

What are the key skills and qualifications needed to thrive as a senior data integration developer?

To thrive as a Senior Data Integration Developer, you need strong expertise in data modeling, ETL processes, SQL, and a solid understanding of database architectures, typically backed by a degree in computer science or a related field. Familiarity with integration tools such as Informatica, Talend, Microsoft SSIS, and relevant certifications are highly valuable. Exceptional problem-solving, communication, and project management skills set top performers apart in this role. These skills ensure efficient, reliable data flow across systems, supporting organizational decision-making and operational effectiveness.

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Senior Data Integration Developer jobs near you
Infographic showing various Senior Data Integration Developer job openings in Pflugerville, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,139 per year, or $57.8 per hour.

Senior Data Engineer

Lower LLC

Austin, TX • On-site

$105K - $142K/yr

Full-time

Re-posted 4 days ago

Job description

Here at Lower, we believe homeownership is the key to building wealth, and we're making it easier and more accessible than ever. As a mission-driven fintech, we simplify the home-buying process through cutting-edge technology and a seamless customer experience.

With tens of billions in funded home loans and top ratings on Trustpilot (4.8), Google (4.9), and Zillow (4.9), we're a leader in the industry. But what truly sets us apart? Our people. Join us and be part of something bigger.

Job Description:

Lower.com is looking for aData Engineer IIto join our Data & Analytics team. This is an exciting opportunity to work on a team that supports stakeholders across the entire company and has access to the full breadth of Lower's data ecosystem.

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across the business. You will work closely with analysts, data engineers, business leaders, and technical stakeholders to create reliable data pipelines,maintainand enhance our data warehouse, and build scalable data products that help the company move faster and make better decisions.

Our current stack includesSnowflake,dbt, Looker, Domo, and a variety of source-system connectors, native pipelines, APIs, data shares, SFTP-based integrations, and Python-based workflows. We are also actively exploring how modern AI development tools and agentic workflows - including tools likeClaude Code, Cursor, AI-assisted development, and data-focused automation frameworks- can help us build faster, improve quality, and create better internal data products.

This isa great rolefor someone who enjoys working in a dynamic, high-growth environment, likes solving data problems, and is excited by the opportunity to use modern tooling, including AI-assisted development, to improve how datateamswork.

What you'll do:

  • Build,maintain, andoptimizedata pipelines across a variety of source systems.

  • Support and improve our core data warehouse infrastructure, primarily inSnowflake, with some legacy warehouse environments such asRedshift.

  • Develop andmaintaintransformation logic, models, and reusable data assets using tools such asdbt.

  • Build new warehouse functionality, curated data models, marts, and tables that support reporting, analytics, operations, and stakeholder decision-making.

  • Support BI andreportingworkflows acrossLookerandDomo, partnering with analysts and business teams to ensure trusted, consistent metrics.

  • Manage and troubleshoot existing data pipelines, jobs, connectors, data shares, SFTP connections, APIs, and native integrations.

  • Write andmaintainproduction-quality SQL, Python scripts, and transformation workflows.

  • Partner with analysts and business stakeholders to understand data needs and translate them into reliable, scalable data solutions.

  • Help ensure our data isaccurate,timely, well-documented, and trusted by the teams that rely on it.

  • Explore and adopt AI-assisted engineering tools such asClaude Code, Cursor, and other agentic AI frameworksto improve development velocity, documentation, testing, data quality, and operational efficiency.

  • Support warehouse migrations, platform consolidation, and modernization efforts as the company continues to scale.

  • Collaborate with cross-functional teams across marketing, sales, operations, finance, product, technology, and mortgage operations.

  • Contribute to data quality monitoring, observability, governance, and process improvements.

Who you are:

  • 3-5+ years of professional experience in data engineering, analytics engineering, business intelligence engineering, or a similar data-focused role.

  • Strong SQL skills and experience working with large, complex datasets.

  • Experience building andmaintainingproduction data pipelines.

  • Experience with cloud data warehouses such asSnowflake,Redshift,BigQuery, or similar platforms.

  • Experience withdbtor similar data transformation frameworks.

  • Experience with Python or another scripting language used for data processing, automation, or pipeline orchestration.

  • Familiarity with data integration patterns, including APIs, SFTP transfers, file-based ingestion, third-party connectors, data shares, and native platform integrations.

  • Comfort working with BI and analytics tools such asLooker, Domo, Tableau, Power BI, or similar platforms.

  • Interest in using modern AI tools to improve data engineering workflows, including AI-assisted coding, documentation, testing, code review, and automation.

  • Comfort working with messy, real-world business data and turning it into clean, trustworthy, usable data assets.

  • Strong problem-solving skills and attention to detail.

  • Ability to work with both technical and non-technical stakeholders.

  • A collaborative mindset and a desire to build reliable systems that help the broader company succeed.

Preferred Experience

  • Experience in the mortgage, lending, financial services, real estate, or fintech industries.

  • Hands-on experience withSnowflake,dbt, Looker, and/or Domo.

  • Experience using AI-assisted development tools such asClaude Code, Cursor, GitHub Copilot, or similar tools.

  • Experience exploring or building with AI agents, workflow automation, LLM-powered internal tools, or agentic development frameworks.

  • Experience with orchestration tools, cloud platforms, CI/CD workflows, or modern data stack tooling.

  • Familiarity with data governance, data quality testing, observability, and documentation best practices.

  • Experience supporting executive reporting, operational analytics, marketing analytics, mortgage operations, or sales funnel reporting.

Lower provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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