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Senior Data Integration Developer Jobs in Pflugerville, TX

Senior Data Analyst

Austin, TX · Hybrid

$85K - $107K/yr

Senior Data Analyst Location: Deerfield Beach FL (Hybrid \- 3 Days a week onsite) Contract: 6+ ... Manager Took over data and BI engineering Data analysts and data governance Teams that support ...

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 ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Experience with data integration tools like Apache Kafka, Flume, and NiFi * Familiarity with data ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Experience with data integration tools like Apache Kafka, Flume, and NiFi * Familiarity with data ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Experience with data integration tools like Apache Kafka, Flume, and NiFi * Familiarity with data ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Experience with data integration tools like Apache Kafka, Flume, and NiFi * Familiarity with data ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Experience with data integration tools like Apache Kafka, Flume, and NiFi * Familiarity with data ...

... senior data engineers to build fast, scalable, and effective applications, stream and batch data ... Experience with data integration tools like Apache Kafka, Flume, and NiFi * Familiarity with data ...

Senior Data Scientist

Taylor, TX · On-site

$90 - $175/hr

Design, train, and iterate on predictive models that integrate various process and quality data ... Engineer features from continuous time-series streams, combine process variables meaningfully, and ...

Data Services Engineer SR

Austin, TX · On-site +1

$113K - $136K/yr

We are currently seeking an experienced Senior Data Services Engineer to design, build, and ... Solid experience on Object oriented practices, APIs, database integrations and dependency ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

About the Role The Senior Data Engineer will be part of a team that designs, builds, and operates ... Integrate SAP data sources including SAP HANA and S/4HANA * Optimize data performance of Google ...

Senior Data Engineer

Austin, TX

$105K - $142K/yr

About the Role The Senior Data Engineer will be part of a team that designs, builds, and operates ... Integrate SAP data sources including SAP HANA and S/4HANA * Optimize data performance of Google ...

Senior DevOps Engineer

Austin, TX · On-site

$128K - $165K/yr

Austin, TX Duration: Long Term Senior DevOps Engineer with expertise in AI integration, Azure cloud platform, and Snowflake administration, responsible for building scalable and secure data and AI ...

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 ...

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 ...

Senior Python Developer with Snowflake

Rollingwood, TX · On-site

$117K - $158K/yr

Senior Python Developer with Snowflake Experience: 12+ Years Location: TX (Onsite) Work type: C2C ... Integrate data from various sources including relational databases, APIs, cloud storage, and third ...

Showing results 41-60

Senior Data Integration Developer information

See Pflugerville, TX salary details

$42

$57

$67

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

As of Sep 5, 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 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.

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 are popular job titles related to Senior Data Integration Developer jobs in Pflugerville, TX?

For Senior Data Integration Developer jobs in Pflugerville, TX, the most frequently searched job titles are:

What job categories do people searching Senior Data Integration Developer jobs in Pflugerville, TX look for?

The top searched job categories for Senior Data Integration Developer jobs in Pflugerville, TX are:

What cities near Pflugerville, TX are hiring for Senior Data Integration Developer jobs?

Cities near Pflugerville, TX with the most Senior Data Integration Developer job openings:

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 Analyst

3coresystems

Austin, TX • Hybrid

$85K - $107K/yr

Contractor

Posted 25 days ago


Job description

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Role: Senior Data Analyst<\/span><\/span><\/span><\/b>
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Location:<\/span><\/span><\/span><\/b> <\/span><\/span>Deerfield Beach FL (Hybrid \- 3 Days a week onsite)<\/span><\/span><\/b><\/span>
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Contract:<\/span><\/span><\/span><\/b> <\/span><\/span>6+ Months Contract<\/span><\/span><\/b><\/span>
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NOTE<\/span><\/span><\/span><\/b>: Must take initiative, not be a task master, must be a critical thinker, understand business outcomes, keep up with demands, must be a go getter, great communication, great dialogue with the business, think outside the box.  <\/span><\/span><\/span>
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KEY SKILLS<\/span><\/span><\/span><\/u><\/b>:<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Manager Took over data and BI engineering<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Data analysts and data governance<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Teams that support sales finance operation customer service and claims<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Demanding priorities<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Must be very Analytical<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Data solutions analyst<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Data engineering and analysts<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Not building pipelines<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Must write SQL that will be utilized by a data engineer<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Heavier critical thinking<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Solutions skills<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Power BI nice to have<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Met with stakeholders and business users<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>AI understanding of how copilot can be utilized in day to day work<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>How to structure query so it's built to right technology<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Moving to fabric<\/span><\/span><\/span>
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Job Summary<\/span><\/span><\/span><\/u><\/b>
<\/span> The Senior Data Analyst plays a key role in transforming data into actionable insights and scalable solutions that support business growth and strategic decision\-making. This position partners closely with business stakeholders, technology teams, and data engineers to understand business needs, design and support data solutions, ensure data quality and governance, and deliver meaningful analytics that drive results. The ideal candidate combines strong analytical and technical skills with business acumen, thrives in a collaborative environment, and is passionate about using data, modern analytics platforms, and emerging technologies to solve complex business challenges and create value across the organization.<\/span>
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Key Responsibilities<\/span><\/span><\/span><\/u><\/b>
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Data Analysis, Quality, Testing & Operational Excellence<\/span><\/span><\/span><\/b>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Analyze business data to support management, project teams, data product teams, business stakeholders, and senior leadership.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Present findings, recommendations, and project updates to stakeholders at all levels of the organization.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Develop, execute, and optimize SQL queries to retrieve, profile, aggregate, validate, and analyze data across multiple systems.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Support the full data lifecycle by ensuring data solutions are properly tested, validated, and aligned with change management processes before and after production deployments.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Perform data profiling, quality assessments, validation, testing, and business rule analysis to ensure data accuracy, completeness, consistency, and alignment with business requirements.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Identify and coordinate test data and testing activities to validate data mappings, transformations, semantic models, reporting outputs, and downstream data solutions.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Research, diagnose, and resolve data issues, reporting inconsistencies, data gaps, and process anomalies through root cause analysis and continuous improvement efforts.<\/span>
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Business Partnership & Solution Delivery<\/span><\/span><\/span><\/u><\/b>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Collaborate with business stakeholders, management, ITS, and data engineering teams to gather requirements, validate business definitions, identify data solution opportunities, and prioritize business and information needs.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Translate business processes, questions, and stakeholder needs into data, reporting, semantic modeling, and advanced analytics requirements, including opportunities where AI\-enabled tools may improve efficiency or insight.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Maintain a strong understanding of business systems, operational data, reporting capabilities, business priorities, and the broader JM Family data ecosystem.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Partner proactively with technology and business teams to strengthen alignment between data, systems, and business processes while anticipating downstream impacts.<\/span>
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Data Architecture, Modeling & Engineering Partnership<\/span><\/span><\/span><\/u><\/b>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Work within modern cloud data warehousing environments and apply concepts including dimensional modeling, star schemas, semantic data models and ETL\/ELT processes used to support data warehouse and analytic solutions.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Perform data lineage analysis, validate SQL transformations and business logic, and troubleshoot issues across data processing pipelines.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Partner closely with data engineers to support the design, delivery, maintenance, and ongoing improvement of enterprise data solutions.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Create, maintain and oversee source\-to\-target mappings and ensure alignment between business requirements, data transformations, and downstream systems.<\/span>
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Data Governance, Documentation & Continuous Improvement<\/span><\/span><\/span><\/u><\/b>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Create and maintain data documentation, including data models, data dictionaries, entity\-relationship diagrams, technical specifications, mapping documentation, analysis results, and governance\-related artifacts.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Execute and promote data management, data governance, information security, and related standards, policies, and best practices.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Participate in data governance activities and provide subject matter expertise on data usage, data flows, reporting, systems, business processes, and technology initiatives.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Support operational activities, strategic initiatives, project delivery, and continuous improvement efforts, including identifying opportunities to leverage AI technologies to enhance data analysis processes.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Apply project management principles to support planning, prioritization, execution, and communication of assigned work.<\/span>
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Required Qualifications<\/span><\/span><\/span><\/u><\/b>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Bachelor's degree in a related field or equivalent work experience.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>5+ years of experience in data analytics, business intelligence, data solutions, or business analysis.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Advanced SQL experience and strong data analysis skills.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience with data warehousing concepts, dimensional modeling, and semantic data models.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience validating, troubleshooting, and analyzing data across multiple systems.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience partnering with data engineering or technology teams to support data solution delivery, validation, and issue resolution.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Strong critical thinking, documentation, communication, and stakeholder management skills.<\/span>
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\n Preferred Qualifications<\/span><\/span><\/span><\/u><\/b>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience with cloud\-based data platforms and modern data architecture.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience with Power BI or other enterprise business intelligence tools for data visualization.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience with data governance and metadata management practices.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Experience leveraging AI\-enabled tools to improve analytics, documentation, data preparation, or other repeatable data management processes.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Ability to translate business questions and stakeholder needs into a data model.<\/span><\/span><\/span>
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<\/span><\/span>        <\/span><\/span><\/span><\/span><\/span>Create KPIs, perform trend analysis, and provide actionable insights and recommendations that support business decision\-making.<\/span><\/span><\/span>
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