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data analytics engineer

First Primary Care

Location: Flexible / Remote First Primary Care (FPC) and WOOP Care are building a new model of healthcare centered on strong primary care, proactive population health, and employer-aligned incentives. We are looking for a Data &amp; Analytics Engineer to help build the analytics foundation that powers our clinical teams and employer health plans. This role will focus on integrating data from multiple sources and turning it into actionable insights that help physicians deliver proactive care and help employers understand the impact of the WOOP Care model.What You&rsquo;ll Do<ul><li>Build and maintain data pipelines that integrate data from systems such as EHRs, messaging platforms, pharmacy data, labs, and claims feeds.</li><li>Develop dashboards and reporting tools that help physicians track engagement, utilization, risk, and care gaps across their patient populations.</li><li>Build employer-facing analytics that demonstrate engagement, utilization trends, and cost impact.</li><li>Work closely with clinical leadership to define and track key population health metrics.</li><li>Ensure data accuracy, reliability, and accessibility across the organization.</li><li>Use modern AI tools and APIs to accelerate analytics workflows, surface patterns in clinical data, and automate insights for care teams.</li></ul>What We&rsquo;re Looking For<ul><li>Strong experience with SQL and modern data warehouse tools (Snowflake, BigQuery, Redshift, or similar).</li><li>Experience building analytics pipelines and dashboards (dbt, Looker, Metabase, Tableau, Hex, or similar).</li><li>Comfort integrating data from APIs and multiple systems.</li><li>Experience using modern AI tools (LLM APIs, copilots, or automation frameworks) to enhance analytics and insight generation.</li><li>Ability to translate messy real-world data into clear, actionable insights.</li></ul>Nice to Have<ul><li>Experience working with healthcare data (EHR, claims, pharmacy, or lab data).</li><li>Familiarity with population health metrics and risk stratification.</li></ul>This role will help build the analytics platform that allows our physicians to deliver more proactive, coordinated care &mdash; and allows employers to see the real impact of a better healthcare model.Benefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Retirement plan</li><li>Vision insurance</li></ul>Work Location: Hybrid remote in Houston, TX 77024

Data & Analytics Engineer

smartbridge, LLC

<div><div>Senior Data Engineer &mdash; Azure &amp; Synapse 
Hybrid | Houston, Texas 
Salary: $120,000 &ndash; $150,000 Annually 
 
ABOUT SMARTBRIDGE 
We simplify business transformation, applying thought leadership and innovation to create digitally connected enterprises. From Strategy to Implementation, we bring our clients' digital agenda to life. One of the keys to our success is finding and hiring exemplary people. We believe every team member contributes directly to Smartbridge's growth, and we celebrate our employees as they grow and succeed in their careers. 
 
ABOUT THE ROLE 
We are looking for a Senior Data Engineer with deep expertise in Microsoft Azure and Synapse Analytics to join our consulting team. In this role, you will lead the architecture, design, and development of highly scalable data integration and data engineering solutions for our clients. You will serve as a technical lead, guiding both the client and internal team members through complex data challenges while delivering high-quality, on-time results. 
 
This is a hands-on leadership role &mdash; you will be expected to design and build alongside your team, not just direct from the sidelines. 
 
RESPONSIBILITIES 
<ul><li>Lead the design, development, and implementation of enterprise-scale data pipelines and warehousing solutions on Microsoft Azure</li><li>Architect end-to-end data solutions using Azure Synapse Analytics, Azure Data Factory, and related cloud technologies</li><li>Drive data engineering best practices across ingestion, transformation, data quality, and pipeline orchestration</li><li>Lead and mentor a team of data engineers, providing technical guidance and code reviews</li><li>Collaborate directly with clients to understand business requirements, assess current data environments, and propose scalable solutions</li><li>Design and develop ETL/ELT processes, star schemas, data marts, and source-to-target mappings</li><li>Manage migration of on-premises data warehouse solutions to Azure cloud environments</li><li>Identify and resolve data quality issues, transformation logic gaps, and pipeline bottlenecks</li><li>Produce and maintain technical documentation for all data solutions and pipelines</li><li>Deliver projects on time, on budget, and in alignment with client goals</li></ul> 
REQUIREMENTS 
<ul><li>7+ years of hands-on data engineering experience</li><li>2+ years in a technical lead or team leadership role, including mentoring engineers and owning project delivery</li><li>Expert-level experience with Microsoft Azure, including:</li><li>Azure Synapse Analytics</li><li>Azure Data Factory</li><li>Azure SQL Database</li><li>Databricks / Apache Spark</li><li>Strong experience designing and building enterprise data warehouses (on-prem and cloud)</li><li>Advanced SQL skills including complex query writing, stored procedures, and performance tuning</li><li>Experience migrating on-premises data solutions to Azure cloud environments</li><li>Proficiency in Python and/or Scala for data pipeline development</li><li>Experience with star schema design, data marts, and ETL/ELT best practices</li><li>Strong communication skills &mdash; ability to lead client meetings and translate business needs into technical solutions</li><li>Ability to travel to client locations based on project needs</li></ul> 
NICE TO HAVE 
<ul><li>Microsoft Azure certifications (e.g. Azure Data Engineer Associate DP-203)</li><li>Consulting background</li></ul> 
BENEFITS 
<ul><li>100% Paid Healthcare Insurance</li><li>Paid Days Off accruing from Day One</li><li>Matching 401K Retirement Plan</li><li>Career Development</li><li>Fitness Reimbursement</li><li>Team Events and more</li></ul></div>
CNaHUYGFR0</div>

Senior Data Engineer / Consultant

NCS Multistage LLC

<div>Job Title &ndash; Business Intelligence (BI) Data Engineer (Snowflake, Spotfire &ndash; Oil &amp; Gas)
Department &ndash; Information Technology
Reports to &ndash; Director, Business Intelligence
Location &ndash; Houston, TX (In-Person) 
Job Summary
We are seeking an experienced Business Intelligence (BI) Data Engineer with deep expertise in Snowflake and TIBCO Spotfire, and proven experience in the Oil &amp; Gas industry, to support and evolve our enterprise analytics platform. The BI Data Engineer will be responsible for designing and maintaining Snowflake data models, supporting and optimizing Spotfire dashboards, and centralizing business logic into governed semantic structures. The ideal candidate understands upstream/midstream/downstream data domains, operational KPIs, and the performance and reliability expectations of industrial environments. This position will play a critical role in migrating semantic logic from Spotfire into Snowflake and ensuring scalable, governed analytics across the organization. 
Key Areas of Responsibility<ul><li>
Snowflake Data Engineering<ul><li>
Design, build, and maintain dimensional data models (fact/dimension structures) in Snowflake</li><li>
Develop and optimize SQL transformations and governed analytic views</li><li>
Centralize KPI logic and business rules within Snowflake</li><li>
Monitor and optimize warehouse performance and credit usage</li><li>
Implement RBAC and security controls aligned with compliance requirements</li><li>
Maintain data lineage documentation and data governance standards</li></ul></li><li>
Spotfire Support &amp; Optimization<ul><li>
Support and maintain enterprise Spotfire dashboards and reports</li><li>
Troubleshoot performance and data connectivity issues</li><li>
Extract and translate business logic embedded in Spotfire into Snowflake SQL</li><li>
Ensure Spotfire connects only to governed semantic views</li><li>
Optimize query performance for in-database analytics</li></ul></li><li>
Oil &amp; Gas Data Domain Expertise<ul><li>
Work with operational, financial, and production datasets</li><li>
Understand and model industry KPIs (e.g., production volumes, job performance, cost per stage, margin analysis, utilization, etc.)</li><li>
Collaborate with operations, engineering, and finance teams to translate business requirements into scalable data structures</li><li>
Ensure data models reflect real-world field and operational processes</li></ul></li><li>
Migration &amp; Architecture<ul><li>
Partner with BI Analysts and external BI developers to migrate semantic logic from Spotfire to Snowflake</li><li>
Standardize naming conventions and modeling best practices</li><li>
Improve scalability, reliability, and performance of the analytics platform</li><li>
Support long-term enterprise data strategy initiatives</li></ul></li><li>
Support and uphold HS&amp;E policies and procedures of NCS and the customer</li><li>
Align individual goals with NCS corporate goals, while adhering to the NCS Promise</li><li>
Participate in your Personal Development for Success (PDS)</li><li>
Other duties, relevant to the position, shall be assigned as required</li></ul>
Knowledge, Skills and Abilities<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience)</li><li>
5+ years of experience in BI or data engineering roles</li><li>
Strong hands-on experience with Snowflake (data modeling, SQL optimization, warehouse management)</li><li>
Advanced experience supporting TIBCO Spotfire dashboards in production environments</li><li>
Experience working in the Oil &amp; Gas industry (mandatory)</li><li>
Strong SQL skills (joins, CTEs, window functions, performance tuning)</li><li>
Experience designing dimensional data models</li><li>
Experience working with large operational datasets</li><li>
Experience migrating semantic logic from BI tools into centralized data warehouse environments</li><li>
Experience in SOX or regulated environments</li><li>
Familiarity with orchestration tools (Airflow, Azure Data Factory, or similar)</li><li>
Experience optimizing Snowflake compute costs</li><li>
Experience collaborating with outsourced or cross-functional BI teams</li><li>
The ideal candidate:<ul><li>
Understands both Snowflake architecture and Spotfire consumption patterns</li><li>
Has real-world Oil &amp; Gas industry experience</li><li>
Thinks in terms of scalable, governed enterprise data models</li><li>
Can support operational dashboards while strengthening backend architecture</li><li>
Balances technical depth with business awareness</li></ul></li></ul>
Additional Information<ul><li>
FLSA Status: Exempt</li><li>
Employment Classification: Full-time, Regular</li><li>
Work schedule: 5 days on, 2 days off; Monday to Friday 8:00am &ndash; 5:00pm, on-call 24/7 for support</li><li>
Travel: 15-20% domestic travel required; some international travel may be required</li><li>
Target Discretionary Bonus: Eligible</li><li>
Special Equipment: Laptop</li><li>
Criminal background check required for all positions</li><li>
Safety sensitive positions will require additional pre-employment testing</li></ul>
Core Competencies<ul><li>
Enterprise Data Architecture</li><li>
Oil &amp; Gas Domain Expertise</li><li>
Performance Optimization</li><li>
Governance &amp; Compliance Awareness</li><li>
Analytical Problem Solving</li><li>
Cross-Functional Collaboration</li><li>
Accountability &amp; Continuous Improvement</li></ul></div>

Business Intelligence (BI) Data Engineer

Memorial Hermann Health System

<div></div><div><div><div>JOB DESCRIPTION
</div><div>At Memorial Hermann, we pursue a common goal of delivering high quality, efficient care while creating exceptional experiences for every member of our community. When we say every member of our community, that includes our employees. We know that when our employees feel cared for, heard and valued, they are inspired to create moments that exceed expectations, while prioritizing safety, compassion, personalization and efficiency. If you want to advance your career and contribute to our vision of creating healthier communities, now and for generations to come, we want you to be a part of our team.
Job Summary
Utilizing deep technical expertise the Data Engineer is responsible for designing and building the processes and infrastructure of data necessary for analytical and operational use cases. This role works with customers across the organization to identify opportunities for potential data sources, defines requirements for data onboarding to the Data Warehouse environments, and facilitates the internal processes to onboard and integrate data as well as prepare and optimize it for analytical use. This position works with customers at all levels across the organization to ensure analytical insights. Works across the organization to prepare data and support the design of analytical insights through reports, dashboard visualizations, data extracts, and data science models. Facilitates the discovery of new opportunities, supports data-informed decision-making for identified challenges and develops new and enhanced metrics to analyze ongoing performance metrics.
 
 
The Data Engineer reports to the Manager, Analytics Infrastructure on the Memorial Hermann Digital Analytics Team and leads creation of data flows to extract, transform and load the data and works closely with other members of the Digital Team and Analytics Community to ensure adherence to data quality and data governance standards.<h2 class="jobSectionHeader">
Job Description</h2>
MINIMUM QUALIFICATIONS
Education: Bachelor&rsquo;s Degree in Computer Science, Electrical Engineering, Mathematics, Computer Applications, Information Systems or Engineering, or four (4) years of equivalent experience is required.
Licenses/Certifications: SNOWPRO preferred
Experience / Knowledge / Skills:<ul><li>
Five (5) years of experience in data warehousing required</li><li>
Minimum of one (1) year experience in Snowflake preferred or experience in other data warehousing such as Redshift or BigQuery</li><li>
Expert SQL Experience required, SnowSQL preferred</li><li>
Demonstrated experience with all phases of the design and development life cycle of analytics applications and reporting tools</li><li>
Must have advanced programming language skills (i.e., Python, R, SQL)</li><li>
Must have advanced knowledge of extract, transform, and load (ETL) tools</li><li>
Experience with deploying models using Snowflake functions preferred</li><li>
Must be knowledgeable of best practices for designing highly-tuned datasets to meet business requirements and optimize end-user performance</li><li>
Experiencing working in cloud infrastructure, AWS preferred</li><li>
Experience with Tableau, Tableau Prep, and Tableau Server, preferred</li><li>
Experience utilizing HealtheIntent, preferred</li></ul>
PRINCIPAL ACCOUNTABILITIES<ul><li>
Responsible for analysis, design and development of analytics data pipelines.</li><li>
Completion and maintenance of source to target mapping across core systems.</li><li>
Responsible for working with customers to identify data on-boarding needs and implement end-to-end solutions.</li><li>
Build data flow for data warehousing projects.</li><li>
Proactively curate data sources to meet the needs of customers.</li><li>
Actively ensure data sources are tuned to handle data in the most efficient manner possible to maximize performance.</li><li>
Maintain and monitor data warehouse and ensure data uptime.</li><li>
Work with Analytics Team, specifically Data Architect, to identify, notify and manage downtimes with minimal disruptions.</li><li>
Educate broader employee base on data architecture methods to gain efficiencies and data insights.</li><li>
Serve as in-house resource for various types of data ETL methodologies and guide customers to the best option for quick turnaround of BI tasks.</li><li>
Assist in development of task plans including schedule and effort estimation.</li><li>
Participate in governance activities.</li><li>
Lead solution development across multiple analytic projects.</li><li>
Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann&rsquo;s service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.</li></ul></div></div></div>

Data Engineer

PARKHILL

<div>Overview:
<div>
The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to generate actionable insights that drive business decisions and project outcomes and support data and AI use cases. This role focuses on analyzing complex datasets, building predictive models, and advising multidisciplinary teams in architecture, engineering, and consulting services. The Senior Data Scientist will also contribute to the development of best practices for data and AI across the organization. This is a full-time position paid bi-weekly on a salary basis.</div><div></div><div> 
Life at Parkhill</div><div><div>
At Parkhill, Building Community is the reason we exist. We invest in extraordinary people who love investing in their communities. We are more than planners, architects, and engineers &mdash; we are neighbors who choose to live and work in the communities we serve.</div></div><div></div><div><div> 
Increase your impact with our team of passionate collaborators. Whether you are a recent graduate with untapped potential or a professional with proven experience, we invite you to discover a career path designed for you.</div></div><div></div><div><div> 
Parkhill is one of the largest architectural and engineering firms in the Southwest with 14 offices located throughout Texas, New Mexico, and Oklahoma.</div></div>
Responsibilities:
<ul><li>Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure</li><li>
Analyze large, diverse datasets to identify trends, patterns, and opportunities for operational or project improvements.</li><li>
Develop predictive models and statistical analyses to inform planning, forecasting, and decision-making.</li><li>
Create dashboards and visualizations that communicate insights to both technical and non-technical stakeholders.</li><li>
Apply AI and machine learning methods, including generative AI, to support data and AI use cases.</li><li>
Collaborate with business SMEs, data engineer, and the Digital Practice group to translate analytics into actionable recommendations.</li><li>
Contribute to the growth of Parkhill&rsquo;s data science capabilities.</li><li>
Stay current with emerging trends in AI, machine learning, and data science applicable to the AEC and consulting sectors.</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related field</li><li>
7+ years in data science, analytics, or AI roles</li><li>
Experience with AEC, engineering, or consulting environments</li><li>
Strong proficiency in Python or R, including relevant ML libraries</li><li>
Expertise in SQL and experience with data visualization tools (Power BI, Tableau)</li><li>
Familiarity with cloud platforms (Azure, AWS) for analytics and model deployment</li><li>
Experience with generative AI frameworks</li></ul><div>
Benefits and Perks</div><div>
We offer a comprehensive benefits program that supports the whole person. Our benefits include:</div><ul><li><div>
Life Balance: hybrid/flexible work schedules, flexible work environment, generous PTO, paid holidays.</div></li><li><div>
Investing in Your Future Growth: specialized training, continuing education, professional licensing, intern development programs, University of Parkhill.</div></li><li><div>
Competitive Benefits: Multiple health plan options, FSA for dependent care, HSA contributions, employer 401k contribution, employer-paid basic life, short/long term disability coverage, performance bonuses.</div></li></ul></div>

Senior Data Scientist

Sagis, PLLC

Sagis Diagnostics is a growing pathology and laboratory diagnostics organization committed to delivering accurate, timely, and patient-centered diagnostic services. Our data team is at the heart of our operational intelligence, building the pipelines, platforms, and reporting infrastructure that enable clinical and business decisions at scale. Data Engineer Level II We are seeking a seasoned Data Engineer with deep hands-on experience designing, building, and maintaining complex ETL pipelines and data workflows. This role sits within our Data Architecture team and is central to evolving our data platform across cloud, on-premise, and hybrid environments. The ideal candidate is a battle-tested practitioner, someone whose expertise was earned in production, not just in coursework. Design, build, and maintain scalable ETL/ELT pipelines that move data across disparate source systems including LIS (Laboratory Information Systems), billing platforms, and cloud data stores. Develop and optimize data workflows in Databricks using PySpark, Delta Lake, and Unity Catalog, following medallion architecture (Bronze Silver Gold) patterns. Architect and manage data integrations with Azure Data Factory, Azure SQL Managed Instance, and Azure Blob/ADLS Gen2 storage. Collaborate closely with the Director of Data Architecture to plan, execute, and document major pipeline and schema changes. Build and maintain robust Python-based automation scripts, data quality checks, and monitoring routines. Support reporting and analytics platforms including Power BI and Zoho Analytics, ensuring clean, performant data models and dataset refresh pipelines. Participate in schema design and maintenance for SQL Server environments including stored procedures, views, and schema-level organization. Contribute to data governance practices: access controls, Unity Catalog permissions, lineage documentation, and change management. Engage with internal stakeholders (clinical, billing, operations) to translate business requirements into data engineering solutions. Identify and resolve data quality, latency, and pipeline reliability issues proactively. Required Skills and Experience Technical Skills ETL &amp; Data Pipelines 5+ years of hands-on experience building production-grade ETL/ELT pipelines. Proficiency with pipeline orchestration and scheduling (Azure Data Factory, Apache Airflow, or similar). Strong understanding of data modeling &mdash; relational, dimensional, and lakehouse patterns. Databricks Significant, production-level Databricks experience &mdash; Unity Catalog, Delta Lake, PySpark, and cluster/job management. Familiarity with medallion architecture and incremental/merge data loading strategies. Azure Ecosystem Demonstrated experience with Azure Data Factory for pipeline orchestration and data movement. Proficiency with Azure SQL Managed Instance and Azure Blob / ADLS Gen2. Familiarity with Azure networking, managed identities, and role-based access controls. SQL &amp; Database Engineering Expert-level SQL skills including complex joins, window functions, CTEs, stored procedures, and performance tuning. Experience working within structured schema environments (SQL Server / Azure SQL MI). Python Strong Python skills for data pipeline development, automation, and API integrations. Experience with libraries such as pandas, pyodbc, requests, and Azure SDKs. Preferred Qualifications: Experience with Power BI including dataset modeling, dataflows, and gateway configuration. Experience with Zoho Analytics including workspace management, custom queries, and report/dashboard development. Healthcare industry experience, particularly in laboratory diagnostics, pathology, or revenue cycle management. Exposure to medical coding systems including CPT (Current Procedural Terminology) and ICD-10 code structures and their use in clinical billing workflows. Familiarity with Laboratory Information Systems (LIS) or billing platforms such as VitalAxis or HealthPac. Experience with Microsoft Graph API or SharePoint integration for collaborative data workflows. Snowflake experience for hybrid or partner data ingestion scenarios. Exposure to Databricks Partner Connect, external table sharing, or cross-cloud data patterns. Education: A bachelor's degree in Computer Science, Information Systems, or a related technical field is preferred but we place demonstrated industry experience above academic credentials. Candidates with a strong portfolio of delivered data engineering work and a track record of solving hard problems in production environments are strongly encouraged to apply regardless of formal degree. Why Join Sagis? At Sagis, we are committed to creating an environment where our employees can thrive and grow. We offer: Comprehensive Benefits: Medical, Dental, and Vision with Blue Cross/Blue Shield. Company-paid Short-Term and Long-Term Disability, Basic Life, and EAP. Voluntary Accident, Critical Illness, and Life Insurance options. Work-Life Balance: Flexible Scheduling and Fair Wages. Paid Time Off, Floating Holidays, and Scheduled Holidays. Paid Parental Leave. Additional Perks: 401(k) Contribution. Free Parking. Wellness Initiatives and a collaborative team culture. Work Location: In person

Data Engineer II- Onsite (77092)

IDEA Public Schools

<div>Description 
 
 
Data Platform Engineer 
 This is a vacancy for the 26-27 school year with a target start date of July 1, 2026
Mission:
The Data Platform Engineer builds and operates IDEA&rsquo;s data infrastructure on Snowflake, enabling reliable, scalable access to data that supports analytics, reporting, and research across multiple states. This role designs automated ingestion pipelines, optimizes platform performance and cost, and ensures the data platform functions as a production-grade system for downstream teams. 
 
Reporting to the Manager of Data Platform Engineering, this engineer works hands-on with ELT pipelines, infrastructure-as-code, and Snowflake administration while contributing to IDEA&rsquo;s transition from legacy ETL systems to a modern lakehouse architecture. 
Supervisory Responsibilities:
Individual contributor role with no direct reports. Senior engineers may mentor peers and lead technical initiatives. 
Location:
This is a full-time remote position based in Texas, with preference given to candidates who live in Austin, El Paso, Houston, Permian Basin (Midland/Odessa), Rio Grande Valley, San Antonio, and Tarrant County (Fort Worth), or who are willing to relocate. 
Travel Expectations:
Minimal travel (5&ndash;10% annually) for collaboration, training, or critical implementation milestones. 
What You&rsquo;ll Do &ndash; Accountabilities
Essential Duties:<ul><li>
Design, build, and maintain automated ELT pipelines ingesting data from diverse source systems into Snowflake.
</li><li>Configure and manage cloud-native ingestion tools and custom Python-based pipelines when needed.</li><li>
Build and maintain Bronze-layer tables with schema evolution handling, audit metadata, and lineage.</li><li>
Implement ingestion-level validation and monitoring to catch issues early.</li><li>
Document source configurations, refresh schedules, and troubleshooting procedures.</li><li>
Partner with Analytics Engineering to ensure ingestion patterns support downstream transformation needs.</li><li>
Administer Snowflake environments, including databases, schemas, warehouses, access controls, and security settings.</li></ul> 
Additional Duties and Responsibilities:<ul><li>
Optimize performance and cost through warehouse sizing, clustering, query analysis, and resource monitoring.</li><li>
Manage Snowflake objects using infrastructure-as-code patterns.</li><li>
Implement security best practices including RBAC, encryption, auditing, and network policies.</li><li>
Evaluate and adopt new Snowflake capabilities as appropriate.</li><li>
Own Terraform-based infrastructure definitions for Snowflake and related platform components.</li><li>
Automate recurring operational tasks such as provisioning, access grants, and environment setup.</li><li>
Build CI/CD pipelines for infrastructure changes with testing and safe deployment practices.</li><li>
Develop reusable templates and modules to accelerate onboarding of new sources and domains.</li><li>
Maintain clear documentation and runbooks for platform operations.</li><li>
Implement monitoring and alerting for pipelines, platform health, and performance.</li><li>
Troubleshoot pipeline failures and platform issues using systematic root-cause analysis.</li><li>
Embed observability (logging, metrics, alerts) into all production pipelines.</li><li>
Collaborate closely with Analytics Engineering, DataOps, and Data Governance partners.</li><li>
Participate in code reviews and design discussions.</li><li>
Share platform knowledge through documentation, mentoring, and team forums.</li><li>
Contribute to retrospectives and continuous improvement efforts.</li></ul> 
Knowledge and Skills &ndash; Competencies<ul><li>
Make Strategic Decisions: This team member uses data, feedback, and insights to inform thoughtful decision-making, while considering the impact on their direct reports and team. They communicate decisions with clear rationale and begin to connect their choices to broader team objectives.
</li><li>Manage Work and Teams: This team member sets clear, measurable goals and regularly reflects on progress, adjusting actions as needed. They prioritize work aligned with their goals using a task management system and consistently meet deadlines through effective time management.</li><li>
Grow Self and Others: This team member regularly offers affirming and adjusting feedback, maintaining a positive balance that reinforces growth and motivation. They provide transparent, candid performance insights and offer consistent coaching and development aligned with individual goals, supporting both direct reports and cross-functional partners.</li><li>
Build a Culture of Trust: This team member proactively builds strong personal and professional relationships with individual stakeholders and regularly seeks feedback to improve their work experience. They create a supportive environment where others feel safe to take risks and learn from mistakes without fear of retribution.</li><li>
Communicate Deliberately: This team member communicates thoughtfully by anticipating potential misunderstandings and providing necessary context to ensure clarity. They leverage structured communication channels to address challenges, ask meaningful questions, and guide conversations toward solutions, while actively listening to the concerns of others.</li></ul> 
Additional Skills:
Required<ul><li>
Hands-on experience administering Snowflake or similar cloud data platforms.</li><li>
Strong SQL skills for data extraction, validation, and performance tuning.</li><li>
Experience building and operating automated data pipelines.</li><li>
Proficiency with Python and scripting for automation and operational tooling.</li><li>
Experience operating production systems with monitoring and incident response.</li><li>
Familiarity with infrastructure-as-code and CI/CD concepts.</li></ul> 
Preferred<ul><li>
Experience with cloud-native ingestion tools (e.g., Fivetran, Airbyte).</li><li>
Experience with Terraform or similar IaC tooling.</li><li>
Familiarity with dbt and analytics engineering workflows.</li><li>
Exposure to orchestration, data quality, or observability tools.</li><li>
Experience with education, public sector, or regulated data environments.</li></ul> 
Required Education and Experience:<ul><li>
Bachelor&rsquo;s degree in a technical field or equivalent practical experience.</li><li>
3+ years of experience in data engineering, platform engineering, or related roles.</li><li>
Demonstrated experience building and operating production data systems.</li><li>
Hands-on experience with Snowflake or comparable cloud data warehouses.</li></ul> 
Preferred Education and Experience:
<ul><li>Snowflake or cloud platform certifications.</li><li>
Experience supporting multi-team data platforms at scale.</li><li>
Strong Python proficiency beyond basic scripting.</li></ul> 
Physical Requirements:<ul><li>
Prolonged periods working on a computer and in virtual meetings</li><li>
Ability to travel domestically via car and air travel to campuses and state office</li><li>
Flexibility for occasional evening meetings with distributed stakeholders across time zones</li></ul> 
What We Offer: 
Compensation &amp; Benefits:
Salaries for people entering this role typically fall between $89,600 and $105,300, commensurate with relevant experience and qualifications and in alignment with internal equity. This role is also eligible for performance pay based on organizational performance and goal attainment. 
Additionally, we offer medical, dental, and vision plans, disability, life insurance, parenting benefits, flexible spending account options, generous vacation time, referral bonuses, professional development, and a 403(b) plan. You can find more information about our benefits at https://ideapublicschools.org/careers/benefits/.<ul><li> 
IDEA may offer a relocation stipend to defray the cost of moving for this role, if applicable.</li></ul> 
Application process:
Submit your application online through Jobvite. Please note that applications will be reviewed on an ongoing basis until the position is filled. Applicants are encouraged to apply as early as possible. 
Learn more about IDEA
At IDEA the Staff Experience Team uses our Core Values to promote human connection and a culture of integrity, respect, and belonging for all Team and Family members. Learn more about our Commitment to Core Values here: https://ideapublicschools.org/our-story/#core-values</div>

Data Platform Engineer (26-27)

Explore 507+ Data analytics engineer in Houston this March. Find roles across top companies and apply now to boost your career.