snowflake engineer

Morningstar

<div><div><div>About the Role</div><div>
We are seeking a highly experienced Snowflake Engineer with deep expertise in Snowflake system optimization, enterprise data architecture, and scalable pipeline development.</div><div>
This role will be responsible for governing the Snowflake data architecture, fine-tuning system performance, and building scalable data pipelines that power analytics and business intelligence across the Marketing and Sales Organizations.</div><div>
The ideal candidate combines hands-on engineering expertise with architectural vision and performance optimization experience in Snowflake environments.
Location: Chicago, IL (Hybrid policy- 4 days onsite)<div>
What Success Looks Like</div><div><ul><li>
A scalable, well-governed Snowflake architecture</li><li>
Optimized compute cost and improved query performance</li><li>
Reliable, observable data pipelines</li><li>
Clean, standardized, and business-aligned data models</li><li>
Strong cross-functional collaboration</li><li>
Creation of detailed &amp; practical documentation for data-consumers</li></ul></div></div><div>
Responsibilities</div><div><ul><li>
Design and implement enterprise-grade Snowflake architecture</li><li>
Define data modeling standards and Snowflake best practices</li><li>
Design scalable ingestion frameworks for structured and semi-structured data</li><li>
Architect solutions for performance, scalability, cost optimization, and governance</li><li>
Establish data lifecycle management, retention, and archival strategies</li><li>
Partner with analytics, BI, and data science teams to translate business requirements into scalable data solutions</li><li>
Maintain clear documentation for data lineage and architecture</li><li>
Optimize warehouse sizing and workload management strategies</li><li>
Analyze query plans and improve performance using clustering, pruning, and micro-partition strategies</li><li>
Improve cost efficiency through compute optimization and storage management</li><li>
Implement monitoring frameworks for performance and usage tracking</li><li>
Tune ingestion processes</li><li>
Design, build, and maintain scalable ETL/ELT pipelines</li><li>
Develop orchestration workflows using Airflow, dbt, or similar tools</li><li>
Support batch and near real-time data ingestion</li><li>
Implement data quality checks, validation rules, and observability</li><li>
Troubleshoot and resolve performance bottlenecks across pipelines</li></ul></div></div><div><div>
Required Qualifications</div><div><ul><li>
5+ years of experience in Data Architecture</li><li>
Proven experience designing Snowflake data architecture at scale</li><li>
Advanced SQL and query optimization expertise</li><li>
Strong knowledge of data warehousing concepts and modeling techniques</li><li>
Experience with cloud platforms (AWS, Azure, or GCP)</li><li>
Experience building enterprise-grade ETL/ELT pipelines</li></ul></div><div>
Preferred Qualifications</div><div><ul><li>
Snowflake certification(s)</li><li>
Experience ingesting and cleaning Marketing, Salesforce, &amp; Eloqua datasets</li><li>
Experience designing data governance frameworks and compliance standards</li><li>
Experience implementing multi-environment (dev/test/prod) Snowflake setups</li><li>
Experience with data streaming technologies (Kafka, Kinesis, etc.)</li><li>
Experience with cost optimization for large-scale cloud data platforms</li></ul></div></div>
Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. That&rsquo;s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:<ul><li>
Financial Health<ul><li>
100% 401k match up to 6% of salary</li></ul><ul><li>
Stock Ownership Potential</li><li>
Company provided life insurance - 1x salary + commission</li></ul></li><li>
Physical Health<ul><li>
Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages</li><li>
Additional medical Wellness Incentives - up to $300-$600 annual</li><li>
Company-provided long- and short-term disability insurance</li></ul></li><li>
Emotional Health<ul><li>
Trust-Based Time Off</li><li>
6-week Paid Sabbatical Program</li><li>
6-Week Paid Family Caregiving Leave</li><li>
Competitive 8-24 Week Paid Parental Leave</li><li>
Adoption Assistance</li><li>
Leadership Coaching &amp; Formal Mentorship Opportunities</li><li>
Annual Flex Stipend - $1000 annually to cover personal education &amp; well-being expenses
</li><li>Tuition Reimbursement</li></ul></li><li>
Social Health<ul><li>
Charitable Matching Gifts program</li><li>
Dollars for Doers volunteer program</li><li>
Paid volunteering days</li><li>
15+ Employee Resource &amp; Affinity Groups</li></ul></li></ul>
Total Cash Compensation Range
$114,100.00 - 193,975.00 USD Annual
Inclusive of annual base salary and target incentive
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
001_MstarInc Morningstar Inc. Legal Entity</div>

Senior Snowflake Data Engineer

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)

TPS Group Holdings

<div>TPS Group Holdings, a family of brands including The Paper Store, Uncharted and Gifts &amp; More, is all about transforming daily routines into joyful escapes that inspire and surprise. Our mission is to connect with every customer through carefully chosen products, immersive shopping experiences, and service that goes the extra mile&mdash;creating a space that sparks joy with every visit.
Position Overview: We are seeking an experienced Data Engineer to own and optimize end-to-end data pipeline operations across our Snowflake data warehouse environment. This is a highly technical, hands-on role focused on building, maintaining, and scaling production-grade ETL pipelines. Direct experience with Matillion, SSIS, and Snowflake is required. This role is best suited for engineers who have built and supported enterprise data pipelines in these platforms and are comfortable working in a production environment. You will be responsible for ensuring operational visibility, data quality, and the overall robustness of our data ecosystem. This is not a general analytics or BI role &mdash; it requires deep ETL engineering expertise.
KEY RESPONSIBILITIES:
<ul><li>Be a TPS Brand Ambassador. Contribute to the TPS commitment of fostering a positive culture by encouraging open communication, and maintaining confidential information as required</li><li>
Design, develop, and maintain production-grade ETL pipelines in Matillion and SSIS
</li><li>Build and optimize data models within Snowflake</li><li>
Ensure operational visibility, monitoring, and data quality controls</li><li>
Integrate new data sources into enterprise data pipelines</li><li>
Improve performance, scalability, and robustness of existing data infrastructure</li><li>
Partner with cross-functional teams to support data governance initiative
</li></ul>JOB REQUIREMENTS:
<ul><li>5+ years of hands-on Data Engineering experience</li><li>
Strong SQL expertise (complex queries, optimization, performance tuning)</li><li>
Proven experience building ETL pipelines using Matillion</li><li>
Proven experience developing ETL processes in SSIS</li><li>
Direct experience working with Snowflake data warehouse
</li><li>Strong understanding of data modeling and data warehousing architecture</li><li>
Ability to work 3+ days/week at the Corporate Office in Acton, MA.</li></ul>
TPS Group Holdings is an equal-opportunity employer and considers all qualified applicants for employment without regard to race, color, national origin, religion, sex, disability, age, veteran status, or any other classification protected by state, local or federal law.
The pay range on this posting reflects what the company reasonably expects to pay for this position at this location at the time of this posting.</div>

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