data scientist

data engineer

software engineer

data analyst

data engineer ii

data platform engineer python

Alignerr

<div>
 
 About The Role
 
 
 
 What if your Python expertise could directly shape the infrastructure powering next-generation AI? We're looking for a Senior Python Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.
 
 
 This is a fully remote contract role working on real production systems &mdash; not toy projects. You'll be embedded alongside data, research, and engineering teams doing meaningful, high-visibility work at the frontier of AI development.
 
 
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 Organization: Alignerr
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 Type: Hourly Contract
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 Location: Remote
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 Commitment: 20&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
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 Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows
 </li>
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 Develop full-stack tooling and backend services for data annotation, validation, and quality control
 </li>
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 Identify and fix bottlenecks, edge cases, and reliability issues across production Python codebases
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 Collaborate directly with data, research, and engineering teams to support model training and benchmarking
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 Participate in synchronous design reviews to iterate on architecture and implementation decisions
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 Improve performance, safety, and scalability across existing infrastructure
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
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 Native or fluent English speaker with clear written and verbal communication skills
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 5+ years of professional experience writing production-grade Python for data engineering
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 Strong full-stack developer background with solid systems programming fundamentals
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 Proficient with workflow orchestration tools for managing complex dependency graphs
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 Experienced with dataframe processing libraries and cloud data warehouse SDKs
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 Able to commit reliably to 20&ndash;40 hours per week
 
 
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 </ul>
 
 Nice to Have
 
 
 
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 Prior experience with data annotation, data quality pipelines, or evaluation systems
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 Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
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 Experience with distributed systems or developer tooling
 
 
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 </ul>
 
 Why Join Us
 
 
 
 <ul>
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 Work on cutting-edge AI projects alongside leading research labs at the frontier of the field
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 Fully remote and flexible &mdash; work from wherever you do your best thinking
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 Freelance autonomy with the structure and consistency of meaningful, ongoing technical work
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 Make a direct, tangible impact on the systems that shape how AI models learn and improve
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 Potential for extended engagement and expanded scope as projects evolve
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 </ul>
</div>

Data Platform Engineer (Python)

Cyera

<div>WHO WE ARE
Come join the company reinventing data security, empowering businesses to realize the full potential of their data. As the leading data security platform purpose-built for the cloud era, Cyera&rsquo;s mission is to reinvent how businesses secure data, enable agile collaboration, and boldly pursue new business opportunities. Trusted by security teams at leading global businesses, our team is proving that data security is the next big thing in cyber. Backed by the world&rsquo;s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data security. 
THE OPPORTUNITY
Cyera's analytics engineering team builds and operates an internal analytics and AI platform that serves as the company's central hub for data exploration, dashboards, and AI-powered insights. The platform supports go-to-market teams and powers customer-facing data products.
As a Senior Full Stack Engineer, you'll co-own the platform alongside a small, high-impact team. This is a backend-heavy full-stack role: you'll spend most of your time in Python and AWS, with meaningful React/TypeScript work on the frontend. The platform integrates deeply with LLMs (Amazon Bedrock), Snowflake, and internal data pipelines, so you'll work at the intersection of software engineering, data infrastructure, and applied AI.
This is not a typical internal tools role. The platform is actively replacing third-party BI tooling, has growing executive adoption, and is expanding in scope. You'll ship features that are used daily by leadership and cross-functional teams, with short feedback loops and high visibility. 
RESPONSIBILITIES:<ul><li>
Design, build, and maintain backend services powering the analytics platform (Python/FastAPI, DynamoDB, S3, AWS ECS).</li><li>
Develop and improve the React/TypeScript frontend, including the dashboard builder, data visualization, admin panels, and session management UI.</li><li>
Build and maintain LLM agent integrations, including tool orchestration, prompt management, and multi-agent workflows using Amazon Bedrock.</li><li>
Own platform reliability: session persistence, streaming stability, error handling, timeout management, and performance optimization.</li><li>
Design and implement role-based access control (RBAC), user provisioning (Okta), and data access policies.</li><li>
Build data visualization features, including chart rendering, SQL-driven widgets, interactive filters, and exportable reports.</li><li>
Collaborate with the analytics engineering team on Snowflake query patterns, dbt model integration, and data pipeline connectivity.</li><li>
Manage deployment infrastructure including ECS task definitions, CI/CD pipelines, and environment configuration.</li><li>
Participate in code reviews and help establish engineering standards as the platform team grows.</li></ul> 
Requirements: 
 
REQUIRED QUALIFICATIONS:<ul><li>
5+ years of professional software engineering experience, with at least 2 years building production web applications.</li><li>
Strong Python skills with production experience building APIs in FastAPI.</li><li>
Working proficiency in TypeScript and React (or equivalent modern frontend framework).</li><li>
Experience with AWS services, particularly ECS/Fargate, DynamoDB, and S3</li><li>
Solid understanding of REST API design, authentication/authorization patterns, and service architecture.</li><li>
Comfortable with SQL and working alongside data teams that use Snowflake and dbt.</li><li>
Experience with CI/CD, containerized deployments (Docker), and infrastructure debugging.</li><li>
Self-directed and comfortable owning features end-to-end in a small team with minimal hand-holding.</li></ul> 
PREFERRED QUALIFICATIONS:<ul><li>
Experience integrating LLMs or AI models into production applications (prompt engineering, tool calling, streaming responses).</li><li>
Background in data visualization, charting libraries (D3, Recharts, Plotly), or BI platform development.</li><li>
Experience with DynamoDB data modeling, including GSI design and access pattern optimization.</li><li>
Familiarity with data warehousing concepts and analytics workflows.</li><li>
Prior experience in a high-growth SaaS or cybersecurity environment.</li><li>
Comfort working across the stack. You don't need to be a frontend specialist, but you're not afraid of CSS.</li></ul> 
COMPENSATION INFORMATION:
Compensation Range: $200,000-$220,000.
The range represents total compensation, and may include incentive for sales roles, equity or benefits, as applicable.
This compensation range represents Cyera&rsquo;s good faith and reasonable estimate of the range of possible compensation for this role at the time of posting, and Cyera may ultimately pay more or less than the posted range. The final salary for this position will be determined in Cyera&rsquo;s sole discretion, consistent with applicable law, and based on a variety of factors, including but not limited to the employee&rsquo;s work experience, skills, and qualifications for the role, as well as the needs of Cyera&rsquo;s business and other operational considerations.
Final compensation will vary based on seniority and relevance of experience, location, and position requirements.
This role may be eligible for potential merit increases based on factors such as individual or company performance, time in role, and other discretionary factors. 
BENEFITS - Why Cyera?<ul><li>
Ability to work remotely, with office setup reimbursement</li><li>
Competitive salary</li><li>
Unlimited PTO</li><li>
Paid holidays and sick time</li><li>
Health, vision, and dental insurance</li><li>
Life, short and long-term disability insurance</li></ul></div>

Senior Fullstack Engineer - US

iGate Corporation

Required Skills : 10+ years in SOC roles (analyst/engineer/architect/consultant). Proven deployment/operations of XSIAM (or Cortex XDR/XSOAR in an XSIAM context). QRadar expertise (rules, log sources/flows, reference sets, AQL). CP4S SOAR/case management experience; ability to translate workflows cross-platform. Participation in at least one enterprise-scale SIEM/SOAR migration. XQL proficiency; detection rule development. SIEM normalization, onboarding, and field mapping. SOAR playbook design and workflow automation. MITRE ATT&amp;CK&ndash;based detection engineering and gap analysis. Telemetry across cloud, endpoint, network, and identity. Scripting for integrations/automation (Python, JavaScript, or similar). Strong SOC operations knowledge (triage, hunting, IR, shift handover, tuning/FP reduction, threat intel operationalization). Preferred Palo Alto certs (PCCSA/PCNSA/XSIAM/XSOAR training). QRadar certification (or equivalent depth). Regulated industry experience (FSI, government, healthcare). Logging/data pipeline familiarity (Syslog-ng, Kafka, Cribl, etc.). Purple team or detection-as-code background. Responsibilities : As Senior Security Operations Platform Engineer, you will partner with SOC leadership, engineering, and stakeholders to ensure the migration is not a tool swap, but a measurable uplift in detection, response, and operational maturity. Key Responsibilities SOC Process Transformation Assess current triage, escalation, SLAs, and operating rhythms. Redesign workflows to align with XSIAM (correlation, automated triage, AI-driven prioritization). Build/implement incident response playbooks and automation rules in XSIAM. Define KPIs, metrics, and dashboards to improve SOC visibility and performance. Platform Migration &amp; Deployment Lead end-to-end migration of SIEM/SOAR capabilities from QRadar/CP4S to XSIAM. Inventory and translate CP4S playbooks/runbooks into XSIAM automations. Establish content lifecycle management for multi-tenancy, tuning, and optimization. Define common workflows (incident/shift management, automation development, knowledge management). Ensure alert fidelity, data integrity, and coverage continuity through cutover. Modern SOC Architecture &amp; Advisory Advise on next-gen SOC design across people, process, technology, and governance. Close detection gaps using XSIAM&rsquo;s unified data model, UEBA, threat intel, and attack surface management. Recommend SOC structure (tiering), automation-first strategies, and response patterns. Mentor/upskill staff on XSIAM operations, XQL, and platform-native automation. Stakeholder Engagement &amp; Documentation Produce migration plans, technical designs, runbooks, and post-implementation reporting. Provide regular updates on progress, risks, and recommendations to senior leadership. Coordinate with Palo Alto professional services and internal engineering as needed. Expected Deliverable(s) : Log source parsers and data normalization, log pipeline implementation, SOC analyst workflows and automations, cybersecurity use-case detections and tuningJob Type: Full-timeExperience:<ul><li>XSIAM : 5 years (Required)</li><li>SOC: 10 years (Required)</li></ul>Ability to Commute:<ul><li>New York, NY 10040 (Required)</li></ul>Work Location: Hybrid remote in New York, NY 10040

XSIAM Security Consultant only on W2

Mindrift

<div>
 
 Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
 
 
 
 In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
 
 
 This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
 
 
 
 What We Do
 
 
 
 The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
 
 
 
 About The Role
 
 
 
 This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
 
 
 
 Key Responsibilities
 
 
 
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 Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
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 Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
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 Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
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 Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
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 Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $32 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
 
 
 
 How To Get Started
 
 
 
 Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.
 
 
 
 Requirements
 
 
 
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 At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
 </li>
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 Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
 </li>
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 Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
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 Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
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 Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
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 Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
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 Strong attention to detail and commitment to data accuracy
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 Self-directed work ethic with ability to troubleshoot independently
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 A link to GitHub is a plus
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 English proficiency: Upper-intermediate (B2) or above (required)
 
 
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 </ul>
 
 Benefits
 
 
 
 
 Why this freelance opportunity might be a great fit for you?
 
 
 
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 Work fully remote on your own schedule with just a laptop and stable internet connection.
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 Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly &mdash; a distinctive skill set in a rapidly growing field.
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 Participate in performance-based bonus programs that reward high-quality work and consistent delivery
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 </ul>
</div>

Freelance Data Scraping Engineer (Python)

Trepp

<div>Trepp's Data Platform Team is responsible for the distributed systems and datalake architectures that power our entire product suite. As a member of the Data Platform Team, you will focus on building robust foundations and scalable frameworks that empower our developers and ensure platform stability. Beyond infrastructure, you will play a key role in building and maintaining reliable, high-quality data products that serve as the backbone for business-critical insights. We own the end-to-end data lifecycle&mdash;from ingestion frameworks to observability stacks&mdash;allowing Trepp to scale effectively in a data-driven market.

We are looking for a code-first Data Engineer to join our NYC office and help transform complex data requirements into elegant, automated solutions.<h3 class="jobSectionHeader"> 
</h3>
<h3 class="jobSectionHeader">What You'll Do:</h3>
<ul>
<li>Build &amp; Enhance: Collaborate with senior engineers to build, maintain, and scale our core data ingestion and pipeline frameworks.
</li>
<li>Own the Architecture: Dive deep into our platform's design to contribute meaningfully to technical discussions and high-impact project implementations.
</li>
<li>Ship Quality Code: Translate complex technical requirements into clean, testable, and scalable Python code and data workflows.
</li>
<li>Innovate &amp; Research: Participate in &quot;Proof of Concept&quot; (PoC) initiatives to test-drive new open-source tools and cutting-edge methodologies.
</li>
<li>Stability First: Champion engineering best practices&mdash;like robust unit testing and thorough documentation&mdash;to keep the platform rock-solid as we grow.</li> 
</ul>
<h3 class="jobSectionHeader">Requirement:</h3>
<ul>
<li>Education: Bachelor's or Master's Degree in Computer Science, Data Engineering, or a related field.
</li>
<li>Experience: 1&ndash;3 years of experience in data or software engineering. We highly value relevant internships, research assistantships, or significant academic projects as part of this experience.
</li>
<li>Coding: Strong proficiency in Python (preferred), Java, or Scala, with an emphasis on writing clean, testable code
</li>
<li>Data: Solid understanding of SQL and relational database concepts and data modeling.
</li>
<li>Engineering: Familiarity with Git workflows, SDLC, and basic CI/CD principles.
</li>
<li>Mindset: Strong problem-solving skills and the ability to explain the &quot;why&quot; behind your technical decisions.</li> 
</ul>
<h3 class="jobSectionHeader">What Gives You An Edge:</h3>
<ul>
<li>Cloud: Familiarity with AWS services (S3, Lambda, EMR, or Glue).
</li>
<li>Big Data: Hands-on experience or academic exposure to Apache Spark.
</li>
<li>Modern Tech: Interest or experience with LLMs and AI-driven data workflows.</li></ul> 


Salary Range:
<ul>
<li>Base salary starting from $150k plus bonus eligible</li></ul> 


Benefits and Perks:
<ul>
<li>Base + target bonus compensation structure</li>
<li>Medical, Dental, Vision insurance</li>
<li>401K (with employer match)</li>
<li>Life insurance, long term disability, short term disability all covered by the company</li>
<li>Flexible paid time off (PTO)</li>
<li>Sixteen (16) weeks paid primary caregiver leave (Biological, adoptive, and foster parents are all eligible)</li>
<li>Four (4) weeks paid parental leave</li>
<li>Wellness subsidy</li>
<li>Pet insurance</li>
<li>Laptop + WFH equipment
</li><li>Career progression plan</li>
<li>Pre-tax commuter benefit with company subsidy (For NYC-office based employees only)</li>
<li>Fun company events and volunteering opportunities</li>
</ul>
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Trepp (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status). 


Workplace Policy:

Trepp's offices follows a 3-2 hybrid-working policy with the expectation of in-office work on Tuesday-Thursday and the option to work from home on Monday and Friday. 


About Trepp

Trepp, Inc. founded in 1979, is the leading provider of information, analytics and technology to the CMBS, commercial real estate and banking markets. Trepp provides primary and secondary market participants with the web-based tools and insight they need to increase their operational efficiencies, information transparency and investment performance. Trepp serves its clients with products and services to support trading, research, risk management, surveillance and portfolio management. Trepp is wholly-owned by DMG Information, a division of the Daily Mail and General Trust (DMGT).</div>

Data Engineer II

NavitasPartners

<div><h3 class="jobSectionHeader">Job Title: Senior Data Engineer</h3>

Location: New York, NY 10020

<h3 class="jobSectionHeader">Position Summary</h3>

We are seeking a highly experienced Senior Data Engineer to support the design, development, and optimization of large-scale data platforms within a financial services environment. This role focuses on building robust data pipelines, enabling advanced credit risk analytics, and ensuring compliance with regulatory standards.

The ideal candidate will bring deep expertise in credit and counterparty risk, modern data engineering technologies, and cloud-based data platforms, while collaborating closely with cross-functional teams including risk, quant, and compliance stakeholders.

<h3 class="jobSectionHeader">Key Responsibilities</h3>
<h4 class="jobSectionHeader">Data Architecture &amp; Engineering</h4>
<ul><li>Lead architecture and technical design discussions for credit risk data platforms</li>
<li>Design and implement scalable batch and streaming data pipelines using PySpark</li>
<li>Build ingestion frameworks for structured and unstructured data from upstream systems into cloud storage (e.g., S3/ADLS)</li>
<li>Implement data processing workflows using Medallion Architecture (Bronze, Silver, Gold layers)</li>
</ul><h4 class="jobSectionHeader">Data Processing &amp; Optimization</h4>
<ul><li>Develop and optimize transformation logic for large-scale financial datasets</li>
<li>Ensure high data quality, auditability, and regulatory compliance</li>
<li>Apply optimization techniques such as partitioning, indexing, and schema evolution</li>
<li>Model and optimize risk metrics (e.g., PD, LGD, EAD, EPE, PFE, CVA) for analytics and reporting</li>
</ul><h4 class="jobSectionHeader">Platform Integration &amp; Operations</h4>
<ul><li>Integrate with external risk engines and support orchestration of complex batch processes</li>
<li>Ensure platform reliability, observability, and data lineage tracking</li>
<li>Implement and maintain security standards (IAM, encryption, authentication protocols)</li>
<li>Troubleshoot production issues and provide ongoing support</li>
</ul><h4 class="jobSectionHeader">Collaboration &amp; Documentation</h4>
<ul><li>Collaborate with data scientists, risk analysts, and business stakeholders</li>
<li>Contribute to API design and data contracts for internal and external consumers</li>
<li>Maintain comprehensive technical documentation for audit and compliance purposes</li>
<li>Participate in Agile development processes and ceremonies</li>
</ul><h3 class="jobSectionHeader">Required Qualifications</h3>
<ul><li>12+ years of experience in data engineering or data development</li>
<li>Strong experience within financial services, particularly credit or counterparty risk</li>
<li>Expertise in regulatory frameworks such as Basel III/IV, IFRS 9, CECL, or FRTB</li>
<li>Advanced proficiency in Python and PySpark / Apache Spark</li>
<li>Hands-on experience with cloud platforms and data lake technologies (e.g., Databricks, Delta Lake)</li>
<li>Strong SQL skills including complex queries, joins, and performance optimization</li>
<li>Experience building data pipelines from multiple financial data sources</li>
<li>Familiarity with workflow orchestration tools (e.g., Airflow or similar)</li>
<li>Experience with CI/CD tools such as Git, Jenkins, or Azure DevOps</li>
<li>Cloud certification (e.g., AWS Certified Cloud Practitioner or equivalent)</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Experience with large-scale financial risk systems and analytics platforms</li>
<li>Background in designing data architectures and maintaining data dictionaries</li>
<li>Experience working in Agile environments using tools such as JIRA or Confluence</li>
<li>Exposure to modern data governance and compliance practices</li>
</ul><h3 class="jobSectionHeader">Skills &amp; Competencies</h3>
<ul><li>Strong analytical and problem-solving abilities</li>
<li>Excellent communication skills with both technical and non-technical stakeholders</li>
<li>Ability to work collaboratively with cross-functional teams</li>
<li>High attention to detail and commitment to data quality</li>
<li>Proactive, self-driven mindset with continuous learning approach</li>
</ul><h3 class="jobSectionHeader">Work Environment</h3>
<ul><li>Fast-paced, data-driven financial services environment</li>
<li>High level of collaboration with global teams</li>
<li>Focus on regulatory compliance, data governance, and innovation</li>
</ul>
For more details reach at resumes@navitassols.com.</div>

Senior Data Engineer - SDE 26-04140

DS Technologies Inc

<div><div><div>About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.</div>
<div></div>
<div>DS Technologies Inc is looking for Engineer II &ndash; Big Data / ETL Engineer (Apptio) role for one of our premier clients. 
</div><div>Job Title: Engineer II &ndash; Big Data / ETL Engineer (Apptio) 
Location: New York, NY (NYC Metro Area only)(Hybrid) 
Position Type: Contract 
Only W2 
 
Job Summary: 
We are looking for a highly skilled Big Data / ETL Engineer who can work as a standalone developer and write production-ready code from scratch. The ideal candidate has strong expertise in Python, SQL, ETL development, and data warehousing, with hands-on experience building scalable data pipelines in enterprise environments. 
 
Key Responsibilities:
</div><ul><li>Design, develop, and maintain ETL pipelines using Python from scratch</li>
<li>Write efficient, reusable, and scalable code following OOP principles</li>
<li>Develop and optimize complex SQL queries, stored procedures, and database objects</li>
<li>Perform data modeling including schemas and entity relationships</li>
<li>Build and manage Airflow DAGs</li>
<li>Ingest, cleanse, govern, and report data from Big Data platforms</li>
<li>Work with multiple SQL dialects (SQL Server, Oracle, DB2, PostgreSQL)</li>
<li>Collaborate with stakeholders while operating independently</li>
</ul><div>Required Skills &amp; Qualifications:</div>
<ul><li>Strong Python (ETL pipeline development from scratch)</li>
<li>Expert SQL and RDBMS concepts</li>
<li>MS SQL Server (SSIS, SSRS)</li>
<li>Oracle PL/SQL</li>
<li>Solid understanding of OOP principles</li>
<li>Apptio experience</li>
<li>Airflow (DAG development)</li>
<li>Experience with Data Warehousing &amp; Big Data</li>
<li>Node.js, JSON, and NoSQL databases</li>
<li>Ability to work as an independent contributor</li>
<li>Must be local to NYC metro area</li>
</ul><div>Nice to Have:</div>
<ul><li>PySpark / Apache Spark</li>
<li>Databricks Delta Lakehouse or BigQuery</li>
<li>Exposure to cloud-based business tools and platforms</li>
</ul>
</div>Flexible work from home options available.</div>

Engineer II – Big Data / ETL Engineer (Apptio)

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