snowflake data engineer

Rocket

<div>As a Senior Data Engineer - Snowflake Platform, you will share ownership of Rocket Companies&rsquo; Snowflake Data Platform, which is needed for business critical data integrations, operational excellence, and stringent data security. You will work closely with various Analytics and Engineering teams to support, secure, and grow our Snowflake Data Warehouse. The ideal candidate is someone who is passionate about data warehousing, security and compliance standards, and implementing new platform best practices to help drive the success of the business. You should also be driven to continuously innovate and improve the infrastructure that you own all while being self-directed and comfortable supporting the data needs of multiple systems and teams.
The Role<ul><li>
Support Data Engineering teams across the Family of Companies to utilize Snowflake as a platform in an efficient manner.</li><li>
Write and tune SQL including database queries, DDL, and DML, with a focus on Snowflake-specific optimization.</li><li>
Establish and enforce security best practices, access controls, and auditing on the Snowflake platform to ensure compliance with standards such as SOX and CCPA.</li><li>
Design and implement CICD best practices for the Snowflake platform.</li><li>
Stay up to date on the latest Snowflake offerings. Testing and implementing new functionality when appropriate.</li><li>
Create code that meets design specifications, follows standards, and is easy to maintain</li><li>
Own features that you develop end to end. Work with end users on requirements gathering, developing and testing your code, and implementing new processes in production that you&rsquo;ll maintain and support them over time</li><li>
Drive our data storage and ingestion platform and help evolve our technology stack and while using development best practices</li></ul>
About You<ul><li>
5+ years of experience overall in Enterprise Data Warehouse focused roles including 3+ years of hands-on experience maintaining and administering the Snowflake platform, including resource monitoring and cost management.</li><li>
Deep experience implementing and auditing security and compliance best practices for data platforms, including familiarity with regulations like SOX and CCPA.</li><li>
5+ years of experience writing SQL for production applications</li><li>
3+ years of experience in at least one object-oriented or scripting language (i.e., Python, Java, Scala, etc.)</li><li>
Strong experience with AWS Cloud Products (i.e., S3, DynamoDB, EC2, etc.)</li><li>
Experience with Infrastructure as code practices using Terraform or similar.</li><li>
Ability to add architectural insights on where to store data and modeling experience to recommend how it should be structured to make it accessible, performant, and resilient to change</li></ul>
What you&rsquo;ll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We&rsquo;ve got your back. Check out our full list of Benefits and Perks.
About us
Redfin is revolutionizing the $75 billion real estate industry. We use data, beautiful software, and innovative design to put customers first at every step in the home-buying and selling process. Get ready to dive headfirst into our award-winning website and mobile apps, solving complex business problems in a highly visible, customer-centric way. If you value doing great work in a collaborative environment, join our team!
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.
The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $153,500.00-$207,700.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is the company&rsquo;s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.</div>

Senior Data Engineer - Snowflake Platform

Coforge

<div>
 
 
 JOB DETAILS:
 
 
 
 
 
 <ul>
 <li>
 
 Role: Lead Data Engineer
 
 </li>
 <li>
 
 Skills: Snowflake/Snowpipe, SQL, Python/PySpark, Kafka, Azure, ADLS, ADF, Data Vault, Databricks, Streaming
 
 </li>
 <li>
 
 Experience: 10+years
 
 </li>
 <li>
 
 Location: Chicago, IL (Onsite Job)
 
 </li>
 </ul>
 
 
 
 
 We at Coforge are seeking an experienced
 
 Lead Data Engineer
 
 someone with strong experience in
 
 
 Snowflake/Snowpipe, SQL, Python/PySpark, Data Modeling, Data Vault, Kafka and Development of Azure based data platforms, experience in query optimization.
 
 
 
 
 <ul>
 <li>
 Snowflake/Snowpipe, SQL, Python/PySpark
 </li>
 <li>
 Data Modeling, Data Engineering with Modeling Techniques - hands on experience
 </li>
 <li>
 Must have
 
 Data Vault
 
 experience and Real implementation experience
 </li>
 <li>
 Kafka-based streaming, EventHub
 </li>
 <li>
 Lead development of Azure-based data platforms, including ADLS, ADF, Databricks, and CI/CD automation.
 </li>
 <li>
 Streaming
 </li>
 <li>
 Triggers/Task
 </li>
 <li>
 Difference b/w virtual warehouse and serverless compute
 </li>
 <li>
 Why DBT compared to others
 </li>
 <li>
 experience in query optimization
 </li>
 </ul>
 
 
</div>

Senior Data Engineer

ByteCrew

<div>
 
 Role Summary
 
 
 
 About the job Data Engineer
 
 
 We are seeking a Data Engineer to design, build, and operate data pipelines and warehouses powering
 
 
 enterprise analytics and reporting. The role covers ingestion, transformation, modelling, and operationalisation
 
 
 across cloud and on-prem data sources.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement batch + streaming data pipelines (ETL/ELT).
 </li>
 <li>
 Build and maintain dimensional/data-warehouse models (Star/Snowflake schema, slowly-changing
 
 
 </li>
 </ul>
 dimensions).
 
 
 <ul>
 <li>
 Develop in SQL, Python, and at least one orchestrator (Airflow, Azure Data Factory, AWS Glue).
 </li>
 <li>
 Operate data quality checks, lineage, and observability (Great Expectations, Monte Carlo, or similar).
 </li>
 <li>
 Optimise warehouse performance (Snowflake, Synapse, BigQuery, Redshift).
 </li>
 <li>
 Partner with BI/analytics teams on semantic models and self-service consumption.
 </li>
 <li>
 Document pipelines, schemas, and runbooks.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in CS, Engineering, Statistics, or equivalent.
 </li>
 <li>
 4+ years building production data pipelines.
 </li>
 <li>
 Strong SQL (window functions, CTEs, query tuning) and Python.
 </li>
 <li>
 Hands-on with at least one major DW/Lakehouse: Snowflake, BigQuery, Synapse, Redshift, Databricks.
 </li>
 <li>
 Experience with at least one orchestrator: Airflow, ADF, Glue, dbt + scheduler.
 </li>
 <li>
 Familiarity with cloud object storage (S3, ADLS, GCS) and file formats (Parquet, ORC, Avro).
 </li>
 <li>
 Professional English &mdash; mandatory.
 
 
 </li>
 </ul>
 
 Preferred / Nice To Have
 
 
 
 <ul>
 <li>
 Working knowledge of Arabic is a plus.
 </li>
 <li>
 Streaming experience: Kafka, Kinesis, Event Hubs, Spark Structured Streaming.
 </li>
 <li>
 dbt Analytics Engineer or cloud data engineer certifications.
 </li>
 <li>
 Exposure to data governance/cataloguing (Purview, Unity Catalog, Collibra).
 </li>
 </ul>
</div>

Data Engineer
Lahore, Pakistan

Snowflake

<div><div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Anti-Abuse Senior Software Engineer, Product Security
Build the future of data and AI. Join the Snowflake team.
The Anti-abuse team at Snowflake is responsible for protecting Snowflake and our customers from abuse on the Snowflake platform. You will have the opportunity to help set the direction of the anti-abuse roadmap and Product Security while working closely with other teams at Snowflake.
As an Anti-Abuse Security Engineer, you will design, build, and operate systems that protect our platform, customers, and data from abuse, misuse, and fraud. You&rsquo;ll work at the intersection of security engineering, data analytics, and machine learning, developing prevention controls, detections, and automation that mitigate abuse activity across our ecosystem.
We&rsquo;re at the forefront of the data revolution, committed to building the world&rsquo;s greatest data and applications platform. Our &lsquo;get it done&rsquo; culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.
AS AN ANTI-ABUSE SECURITY ENGINEER AT SNOWFLAKE, YOU WILL:<ul><li>
Understand the abuse risks faced by Snowflake and our customers.</li><li>
Design and deploy the anti-abuse controls addressing risks such as Account Take Overs (ATO), data exfiltration, risk around code/data sharing, and other newest and highest future engineering challenges as Snowflake grows.</li><li>
Help illustrate abuse risks, threats and exploits to cross functional teams.</li><li>
Research, plan, and build anti-abuse architectures for Snowflake products and features<ul><li>
Provide designs and reference implementations for new anti-abuse features</li><li>
Research new services, controls, or features that can help protect the product and our customers from abuse.</li></ul></li></ul>
OUR IDEAL ANTI-ABUSE SECURITY ENGINEER WILL HAVE:<ul><li>
Bachelor's degree in Computer Science or related technical field or equivalent practical experience.</li><li>
4+ years of experience with anti-abuse space, insider threats, detections, threat hunting and incident response.</li><li>
Understanding of common abuse patterns (e.g., ATO, exfiltration, insider threats, , spam, fraud, privilege misuse).</li><li>
Proficiency in Python, SQL, or a similar language for building detections and data pipelines.</li><li>
In-depth knowledge of anti-abuse solutions, network security, and/or infrastructure security.<ul><li>
Experience performing source code reviews across various languages (e.g. Java, Go)</li></ul></li><li>
Ability to assess engineering designs and architecture diagrams for abuse risks<ul><li>
Ability to assess abuse risks within an application or feature</li><li>
Experience communicating abuse risks and roadmaps</li><li>
Experience designing and implementing anti-abuse solutions</li></ul></li><li>
Experience contributing to the security anti-abuse community such as presenting at conferences or meetups.</li></ul> 
BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:<ul><li>
Master's degree or PhD in Computer Science or related technical field.</li><li>
Experience with cloud environments (AWS, GCP, Azure) and their security/abuse detection tooling.</li><li>
Familiarity with ML-based detection systems, feature engineering, or anomaly detection methods.</li></ul> 
WHY YOU SHOULD WORK FOR US:
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. 
How do you want to make your impact?
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:<ul><li>
The estimated base salary range for this role is $200,000 - $287,500.</li><li>
Additionally, this role is eligible to participate in Snowflake&rsquo;s bonus and equity plan.</li></ul>
The successful candidate&rsquo;s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.</div></div>

Anti-Abuse Senior Software Engineer, Product Security

<div><div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.<div>
COMPANY OVERVIEW</div>
We are building the next generation of cloud security infrastructure, focusing on advanced Data Exfiltration Protection (DXP) and unified Data Movement Policies (DMP). Our mission is to provide seamless, context-aware security that protects sensitive data without hindering developer velocity. We are looking for a visionary Principal Engineer to lead the technical strategy and architecture for our Data Movement and Perimeter control systems.<div>
ROLE SUMMARY</div>
As a Principal Engineer in the Data Protection group, you will be the technical lead for the Data Exfiltration Protection (DXP) and Data Movement Policy (DMP) initiatives. You will bridge the gap between high-level security policy and low-level system enforcement, ensuring that our perimeter controls are robust, scalable, and deeply integrated with context-aware access policy frameworks. You will be responsible for the architectural evolution of our egress control systems, moving from simple IP-based rules to sophisticated, content-aware, and identity-driven data movement governance.<div>
AS A PRINCIPAL SOFTWARE ENGINEER - IDENTITY, DATA SECURITY AND TRUST AT SNOWFLAKE YOU WILL:</div><ul><li>
Architectural Leadership: Lead the design and implementation of the Data Movement Policy (DMP) framework, ensuring it can handle complex multi-cloud and hybrid environments.</li><li>
DXP Strategy: Define the roadmap for Data Exfiltration Protection, evolve and enhance ingress and egress controls, and intelligent anomaly detection for data egress.</li><li>
Policy Unification: Drive the technical effort to unify Context-Aware Access policies with egress perimeter controls, creating a single, cohesive policy engine for all data movement.</li><li>
Design Specification: Author and review complex design documents for DMP and Perimeter Policy, ensuring high reliability, low latency, and auditability.</li><li>
Stakeholder Collaboration: Partner with Product Management to refine the DXP product requirements and translate business goals into actionable engineering milestones.</li><li>
Mentorship: Guide senior and staff engineers across multiple teams, fostering a culture of security-first engineering and rigorous design standards.</li></ul><div>
OUR IDEAL PRINCIPAL SOFTWARE ENGINEER - IDENTITY DATA SECURITY + TRUST WILL HAVE:</div><ul><li>
Experience: 12+ years of experience in software engineering, with at least 5 years in a principal or architect role focusing on infrastructure or security.</li><li>
Security Expertise: Deep understanding of network security protocols (TLS/SSL, HTTP/S, DNS), Zero Trust architectures, and Data Loss Prevention (DLP) technologies.</li><li>
System Design: Proven track record of designing and deploying high-scale distributed systems (Java, Go, or C++).</li><li>
Cloud Infrastructure: Strong experience with cloud-native security controls in AWS, GCP, or Azure (e.g., VPC Service Controls, Private Link).</li><li>
AI Forward: Effective deployment of AI models and tooling to improve team productivity and execution.</li><li>
Communication: Excellent ability to communicate complex technical concepts to both executive leadership and individual contributors.</li></ul>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:<ul><li>
The estimated base salary range for this role is $264,000 - $379,500.</li><li>
Additionally, this role is eligible to participate in Snowflake&rsquo;s bonus and equity plan.</li></ul>
The successful candidate&rsquo;s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.</div></div>

Principal Engineer, Identity Data Security and Trust

nimble solutions

<div>
 Job Type
 
 
 Full-time
 
 
 
 Description
 
 
 
 
 Data Engineer
 
 
 
 Chesterfield Office Hybrid or Remote
 
 
 
 Why You'll Want to Join!
 
 
 
 Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a
 
 Data Engineer
 
 to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as
 
 Microsoft Fabric, Azure Synapse, Databricks, and Snowflake
 
 .
 
 
 
 Position Overview
 
 
 
 Lead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data&mdash;claims, EMR/EHR, HL7/FHIR&mdash;into actionable insights that drive revenue cycle optimization and clinical outcomes.
 
 
 
 Why This Role Matters
 
 
 
 Healthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake
 </li>
 <li>
 Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards
 </li>
 <li>
 Write and optimize SQL queries for performance across large healthcare datasets
 </li>
 <li>
 Implement data governance, quality frameworks, and HIPAA compliance controls
 </li>
 <li>
 Collaborate with analytics, data science, and business teams to define data requirements
 </li>
 <li>
 Monitor and troubleshoot data pipeline health and performance
 </li>
 <li>
 Develop Python or Scala code for complex transformations and data processing
 </li>
 <li>
 Support Power BI and analytics teams with data modeling and performance optimization
 </li>
 <li>
 Document data lineage, transformations, and technical architecture
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of professional data engineering or ETL/ELT development experience
 </li>
 <li>
 Expert-level SQL skills with proven optimization experience
 </li>
 <li>
 Proficiency in Python, Scala, or similar data processing languages
 </li>
 <li>
 Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)
 </li>
 <li>
 Understanding of healthcare data standards (HL7, FHIR, claims data structures)
 </li>
 <li>
 Strong grasp of data modeling, normalization, and schema design
 </li>
 <li>
 Experience with data versioning, CI/CD pipelines, and data quality frameworks
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Microsoft Fabric or Azure Data Factory
 </li>
 <li>
 Knowledge of HIPAA compliance and healthcare data security
 </li>
 <li>
 Background in healthcare, RCM, or claims processing
 </li>
 <li>
 Experience with dbt (data build tool) or equivalent transformation frameworks
 </li>
 <li>
 Exposure to dimensional modeling and data warehousing best practices
 
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics
 </li>
 <li>
 In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components
 </li>
 <li>
 Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance
 </li>
 </ul>
</div>

Data Engineer

All Points Logistics

<div><div>Data Engineer
 <div></div><div><div>Huntsville , Alabama
</div>Direct Hire
Apr 9, 2026
</div></div><div>*US CITIZENSHIP REQUIRED* 
*ACTIVE DoD SECRET CLEARANCE REQUIRED* 
*THIS IS A SIX MONTH POSITION WITH POTENTIAL TO EXTEND* 
 
DESCRIPTION OF POSITION/DUTIES: 
 
All Points is seeking a Data Scientist / Data Engineer &ndash; Supply Chain Analytics to support the Army Materiel Command at Redstone Arsenal in Huntsville, AL. This is a six 
month, full time position with potential to extend and requires 100% on site support. There is no remote work option. THIS IS A SIX MONTH POSITION WITH POTENTIAL TO EXTEND. 
 
The selected candidate will support Army Supply Chain Command Orchestration and Monitoring operations as a hybrid data scientist and data engineer. This role operates at the intersection of data engineering and applied machine learning, owning both the data pipelines that move supply chain data and the models and analytics that extract operational insight. 
Working under the technical direction of a Senior AI Solutions Engineer, the candidate will build, optimize, and maintain production grade analytics that enable supply chain mapping, disruption detection, and risk visibility across priority weapons systems and materiel programs. This is a mission driven, production cadence role, not a research only position. 
 
Duties may include but are not limited to:
<ul><li>Build and maintain supply chain mapping constructs that trace multi-tier supplier relationships, component dependencies, foreign ownership indicators, and program linkages</li>
<li>Design, optimize, and maintain data pipelines ingesting supply chain data from government and commercial sources into Snowflake and downstream analytics environments</li>
<li>Develop and enhance disruption alerting models to detect supply chain stress signals, including single-source dependencies, supplier financial distress, geopolitical exposure, and lead-time anomalies</li>
<li>Apply machine learning and AI techniques to supply chain datasets, including entity resolution, anomaly detection, risk scoring, and predictive modeling</li>
<li>Write, optimize, and maintain complex SQL queries and Python-based transformation logic against Snowflake data warehouses</li>
<li>Produce analytic outputs that support Red Team vulnerability assessments, Blue Team mitigation planning, and executive decision-support dashboards</li>
<li>Participate in data quality validation, confidence scoring, and model monitoring workflows</li>
<li>Maintain pipeline documentation, data dictionaries, model artifacts, and data provenance per program governance standards</li>
<li>Support government-directed onboarding of new data sources, including schema mapping and integration into existing pipelines</li>
</ul>EDUCATION:
<ul><li>Bachelor&rsquo;s degree from an accredited college in a related discipline</li>
</ul>YEARS OF EXPERIENCE:
<ul><li>Eight (8) to ten (10) years of relevant experience preferred 
Minimum of four (4) years of combined data science and data engineering experience required</li>
</ul>SKILLS/CERTIFICATIONS:
<ul><li>Demonstrated supply chain domain knowledge, including supplier networks, procurement data, logistics, or defense materiel programs</li>
<li>Proficiency in Python for data engineering, analytics, and machine learning workflows</li>
<li>Strong SQL skills, including complex queries, window functions, and performance optimization</li>
<li>Hands-on Snowflake experience in a production analytics environment</li>
<li>Experience building and maintaining ETL/ELT pipelines using orchestration frameworks (Airflow, dbt, Spark, or equivalent)</li>
<li>Experience applying ML or AI techniques to real-world structured datasets in production or near-production environments</li>
<li>Strong documentation practices supporting data lineage, auditability, and governance</li>
<li>Experience with defense supply chain datasets (CAGE codes, NSNs, DLA/GIDEP) preferred</li>
<li>Experience with entity resolution, graph-based supply chain mapping, or network analysis preferred</li>
<li>Familiarity with AWS or other cloud data platforms in GovCloud or regulated environments preferred</li>
<li>Familiarity with CUI handling and NIST 800-171 data governance requirements preferred</li>
</ul>SECURITY CLEARANCE:
<ul><li>US Citizenship required</li>
<li>Active DoD Secret security clearance required</li>
</ul>Positions with All Points are Full-Time, Direct, and include a comprehensive benefits package. For more information, please visit our Career Portal: 
https://www.allpointsllc.com/careers/ 
 
ALL POINTS IS AN EQUAL OPPORTUNITY EMPLOYER</div></div>

2033 Cleared Data Scientist/Data Engineer – Supply Chain Analytics (Secret Clearance Required)

Search 10000+ Snowflake data engineer jobs near you this May. New roles added regularly across leading industries. Apply today.