data engineer

database cloud engineer

director, data operations Jobs in New York

director, data operations

director, lead data & analytics engineer Jobs in New York

director, lead data & analytics engineer

google cloud industry consultant - technical sales Jobs in New York

google cloud industry consultant - technical sales

gcp data engineer

APLOMB Technologies

<p><b>Job Description</b></p><p>Design develop and implement scalable cloud infrastructure solutions using Google Cloud Platform GCP Build tools Collaborate with cross functional teams to optimize data pipelines and deployment workflows Ensure high availability security and performance of cloud based data services Leverage GCP Build capabilities to automate build and deployment processes Monitor and troubleshoot cloud infrastructure to maintain operational excellence Stay updated with the latest trends and best practices in GCP and DevOps methodologies</p><p><b>Roles and Responsibilities</b></p><p>Lead the endtoend build and deployment of data solutions on GCP Develop and maintain CICD pipelines using GCP Build and related tools Work closely with data engineers and developers to integrate build processes Implement infrastructure as code IaC for repeatable and reliable deployments Collaborate with security teams to enforce compliance and governance policies Provide technical guidance and mentorship to junior team members Participate in code reviews design discussions and sprint planning sessions</p><p>Job Type: Contract</p><p>Pay: $40.00 - $50.00 per hour</p><p>Work Location: In person</p>

GCP Data Engineer

Dstillery

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Dstillery is the leading AI ad targeting company. We empower brands and agencies to target their best prospects for high-performing programmatic advertising campaigns. Backed by our award-winning Data Science, Dstillery has earned 24 patents (and counting) for the AI technology that powers our precise, scalable audiences. Our newest technology, ID-free
 <strong>
  &reg;
 </strong>
 , is patented, privacy-safe behavioral targeting that reaches 100% of ad impressions and can be used with any Dstillery product. Our premier user segment product, Custom AI Audiences, is a just-for-your-brand targeting solution that refreshes hundreds of millions of users every 24 hours to deliver the best performance.
 <br/>
 <br/>
 We currently handle billions of events per day, we're growing strong and need someone who can help us scale our systems to handle lots of data. We're still pretty small on the engineering team, and everyone gets their hands dirty and makes a real impact.
 <br/>
 <br/>
 Our engineering culture is focused on shipping scalable, practical systems. We avoid ivory-tower architecture, preferring to ship quality code and iterate. We use small, agile teams that can touch any part of the system. We place a high value on maintaining a good work-life balance, avoiding grinds and focusing on getting things done rather than putting in long hours.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're seeking a Software Engineer who takes a craftsman-like approach to software development&mdash;writing clean, testable, and well-documented code. You'll contribute to both our on-prem systems and our Google Cloud Platform (GCP) infrastructure.
 <br/>
 <br/>
 As part of our modernization efforts, you'll help simplify existing systems and develop new products and features in GCP. Our engineering culture values collaboration, learning, and innovation&mdash;your ideas will have real impact.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Participate in requirements analysis, design, development, testing, and deployment
  </li>
  <li>
   Break down complex problems into well-designed, maintainable solutions
  </li>
  <li>
   Collaborate closely with engineers, product managers, and operations teams
  </li>
  <li>
   Develop distributed microservices that are reliable, scalable, and performant
  </li>
  <li>
   Ensure high availability and reliability of applications and services
  </li>
  <li>
   Use Agile methodologies to deliver features on time and with high quality
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science or related technical field (or equivalent experience)
  </li>
  <li>
   1-5 years of professional software development experience
  </li>
  <li>
   Proficiency in Java and Spring Boot; experience working on production systems
  </li>
  <li>
   Experience with relational databases
  </li>
  <li>
   (Bonus) Some familiarity with distributed systems and microservice architectures
  </li>
  <li>
   (Bonus) Experience operating in hybrid environments (on-prem + public cloud such as GCP or AWS)
  </li>
  <li>
   (Bonus) Experience with Docker and containerization
  </li>
  <li>
   You are interested in working with the following technologies: Java for applications, Python for ETL, Apache Kafka, MySQL, Spark, Hive, Apache Airflow, Terraform, Google Cloud Platform (GCP) solutions such as Compute Engine, Cloud Storage, Cloud SQL, Google Kubernetes Engine, BigQuery, Dataflow and Cloud Run
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Tech Stack
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Languages &amp; Frameworks: Java (applications), Python (ETL), Spring Boot
  </li>
  <li>
   Data &amp; Messaging: Apache Kafka, MySQL, Hive, Apache Cassandra, Spark
  </li>
  <li>
   Orchestration &amp; Infrastructure: Kubernetes, Airflow, Apache Beam, Terraform
  </li>
  <li>
   Cloud: Google Cloud Platform (GCP) - Compute Engine, Cloud Storage, Cloud SQL, Kubernetes Engine, BigQuery, Dataflow, Cloud Run
  </li>
 </ul>
</div>


Software Engineer

Endava

<div>
 <strong>
  Company Description
  <br/>
  <br/>
 </strong>
 Endava is a leading technology services company dedicated to helping clients accelerate their digital transformation journeys. We're seeking a Google Cloud Industry Consultant to join our growing Google Cloud team. In this role, you'll be a true builder, with deep technical knowledge, working as an entrepreneur within our organization. You'll partner with Endava Industry Sellers and Google Cloud's sales teams to identify, pitch, and sell innovative, cloud-native solutions that directly address complex customer challenges. Your work will not only drive our clients' success but also contribute to the growth of our Google Cloud business. You'll be a trusted advisor, a technical visionary, and a hands-on leader, shaping the future of cloud solutions at the intersection of industry expertise and cutting-edge technology.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Accountabilities
 <br/>
 <br/>
 As a Google Cloud Industry Consultant, you'll be accountable for:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Pioneering Solutions and Market Building:
   <br/>
   Act as an entrepreneur within Endava, working with Endava sellers to identify new market opportunities and build a pipeline of projects. You'll be a key player in the entire sales cycle, from initial discovery to closing the deal, focusing on selling services that leverage Google Cloud's capabilities to solve customer challenges.
  </li>
  <li>
   Collaborative Client Engagement:
   <br/>
   Work in close partnership with Endava industry sellers and Google sellers throughout the client engagement process. At times, you may lead the process, directing strategy and client interactions. In other situations, you'll be a key member of a collaborative team, providing technical expertise and support to achieve a shared goal.
  </li>
  <li>
   Solution Architecture &amp; Design:
   <br/>
   Design and architect scalable, secure, and cost-effective cloud solutions on GCP. This includes creating detailed technical architectures, selecting appropriate GCP services, and defining migration and modernization strategies for complex enterprise environments.
  </li>
  <li>
   Technical Leadership &amp; Delivery:
   <br/>
   Act as a hands-on technical leader, guiding delivery teams through the initial phases of client projects. You'll ensure architectural integrity and quality throughout the implementation process, providing expert guidance on everything from infrastructure as code (IaC) to CI/CD pipelines.
  </li>
  <li>
   Industry Expertise &amp; Thought Leadership:
   <br/>
   Apply your deep knowledge of a specific industry (e.g., Financial Services, Retail, Healthcare) to tailor solutions that address unique sector-specific challenges and regulatory requirements. You'll contribute to Endava's intellectual capital by developing best practices, frameworks, and reusable assets.
   <br/>
   <br/>
  </li>
 </ul>
 Attributes
 <br/>
 <br/>
 <ul>
  <li>
   We're looking for someone with a blend of technical prowess, strategic thinking, and exceptional interpersonal skills.
  </li>
  <li>
   Builder &amp; Entrepreneur:
   <br/>
   You must have a strong desire to build and grow something new. You're proactive, resourceful, and comfortable with ambiguity. You're energized by the challenge of creating a pipeline and closing deals.
  </li>
  <li>
   Trusted Advisor:
   <br/>
   You should be a credible and reliable source of expertise for clients and colleagues, capable of building long-term relationships based on trust and mutual respect.
  </li>
  <li>
   Problem Solver:
   <br/>
   You'll need to be analytical and adept at diagnosing complex business and technical issues. Your ability to think critically and propose innovative solutions is essential.
  </li>
  <li>
   Communicator:
   <br/>
   You must be able to articulate complex technical concepts in a clear, concise manner to a variety of audiences, from technical leads to non-technical business executives.
  </li>
  <li>
   Collaborator:
   <br/>
   The role requires working effectively with diverse, globally distributed teams and stakeholders. You'll need to share knowledge and contribute to a supportive, collaborative culture.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Ideal Profile
 <br/>
 <br/>
 The ideal candidate will possess a compelling mix of experience and technical certifications.
 <br/>
 <br/>
 Experience:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   5+ years of hands-on experience in a cloud architecture, consulting, or solution design role.
  </li>
  <li>
   Extensive experience designing and implementing large-scale solutions on Google Cloud Platform (GCP).
  </li>
  <li>
   Demonstrated industry expertise in banking, payments or insurance
  </li>
  <li>
   Experience working in a pre-sales or business development capacity, including identifying opportunities, preparing proposals, and delivering pitches.
   <br/>
   <br/>
  </li>
 </ul>
 Technical Skills:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Expert knowledge of core GCP services (Compute Engine, GKE, Cloud Storage, BigQuery, IAM, Networking).
  </li>
  <li>
   Hands-on experience with Infrastructure as Code tools like Terraform.
  </li>
  <li>
   Deeper technical experience in either AI &amp; Data (e.g., Gemini, BigQuery, Vertex AI, Dataflow) or Security (e.g., Cloud Armor, VPC Service Controls, Security Command Center) is highly preferred.
  </li>
  <li>
   Familiarity with containerization (Docker, Kubernetes) and CI/CD tools.
  </li>
  <li>
   Understanding of data management, security, and governance best practices in a cloud environment.
   <br/>
   <br/>
  </li>
 </ul>
 Education &amp; Certifications:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering, or a related field.
  </li>
  <li>
   Google Cloud Professional Cloud Architect certification is highly preferred.
  </li>
  <li>
   Additional GCP certifications (e.g., Professional Data Engineer, Professional DevOps Engineer) are a plus
   <br/>
   <br/>
  </li>
 </ul>
 Additional Information
 <br/>
 <br/>
 Discover some of the global benefits that empower our people to become the best version of themselves:
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   Finance:
   <br/>
   Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
  </li>
  <li>
   Career Development:
   <br/>
   Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
  </li>
  <li>
   Learning Opportunities:
   <br/>
   Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
  </li>
  <li>
   Work-Life Balance:
   <br/>
   Hybrid work and flexible working hours, employee assistance programme;
  </li>
  <li>
   Health:
   <br/>
   Global internal wellbeing programme, access to wellbeing apps;
  </li>
  <li>
   Community:
   <br/>
   Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Employee Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Participation in both internal meetings and external meetings via video calls, as necessary.
  </li>
  <li>
   Ability to go into corporate or client offices to work onsite, as necessary.
  </li>
  <li>
   Prolonged periods of remaining stationary at a desk and working on a computer, as necessary.
  </li>
  <li>
   Ability to bend, kneel, crouch, and reach overhead, as necessary.
  </li>
  <li>
   Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary.
  </li>
  <li>
   Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary.
  </li>
  <li>
   For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary.
  </li>
  <li>
   For positions that require business travel and/or event attendance, a valid driver&rsquo;s license and acceptable driving record are required, as driving is an essential job function.
   <br/>
   <br/>
  </li>
 </ul>
 If requested, reasonable accommodations will be made to enable employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship.
 <br/>
 <br/>
 USA Benefits (Full time roles only, does not apply to contractor positions)
 <br/>
 <br/>
 <ul>
  <li>
   Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
  </li>
  <li>
   Flexible Spending Accounts (Medical, Transit, and Dependent Care)
  </li>
  <li>
   Employer Paid Life Insurance and AD&amp;D Coverages
  </li>
  <li>
   Health Savings account paired with our low-cost High Deductible Medical Plan
  </li>
  <li>
   401(k) Safe Harbor Retirement plan with employer match with immediately vest
   <br/>
   <br/>
  </li>
 </ul>
 At Endava, we&rsquo;re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives&mdash;because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
</div>


Google Cloud Industry Consultant - Technical Sales

The Cypress Group

<div>
 <p>
  Our client is seeking a Software Engineer to join their team. The ideal candidate will be responsible for developing high-quality software tools and applications. They will also be responsible for designing and implementing testable and scalable code. This role is on-site in New York, NY and provides excellent growth opportunities, competitive compensation and comprehensive benefits.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Develop quality software and web applications
  </li>
  <li>
   Analyze and maintain existing software applications
  </li>
  <li>
   Design highly scalable, testable code
  </li>
  <li>
   Discover and fix programming bugs
  </li>
  <li>
   Interact with various teams and stakeholders
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor's degree or equivalent experience in Computer Science or related field
  </li>
  <li>
   Development experience with programming languages
  </li>
  <li>
   Python and/or Java
  </li>
  <li>
   SQL
  </li>
  <li>
   AWS (or GCP, Azure, etc.)
  </li>
 </ul>
 <p>
 </p>
</div>


GEICO

<div><p><b>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.</b></p><p><b>
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.</b></p><p></p><p><b>
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.</b></p><p></p><p><b>
Position Summary</b></p><p>
GEICO is seeking an experienced Senior Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will develop state-of-the-art data pipelines, models, and reports, transforming vast datasets that reach up to multiple terabytes in size, while championing innovation, best practices, and continuous learning.
</p><p></p><p><b>Position Description</b></p><p>
As a Senior Engineer, you will work to provide an excellent user experience for our internal stakeholders across the organization and maintain the highest standards of data and analytics engineering. Our team thrives and succeeds in delivering high quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data processing and pipeline development to dimensional data modeling and reporting.</p><p></p><p><b>
Position Responsibilities</b></p><p><i>
</i>As a Senior Engineer, you will:</p><ul><li>
Scope, design, and build scalable, resilient distributed systems</li><li>
Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services</li><li>
Utilize your passion for data exploration to produce high quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisions</li><li>
Use your technical expertise to shape product definitions and drive towards optimal solutions</li><li>
Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization</li><li>
Engage in cross-functional collaboration throughout the entire development lifecycle</li><li>
Manage data pipelines, ensuring consistent data availability
</li><li>Mentor other engineers
</li><li>Consistently share best practices and improve processes within and across teams</li></ul><p><br>
</p><p><b>Qualifications</b></p><ul><li>
Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes)</li><li>
Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analytics</li><li>
Demonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred)
</li><li>Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus</li><li>
Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines
</li><li>Experience architecting and designing new ETL and BI systems
</li><li>Experience with supporting existing ETL and BI systems</li><li>
Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions
</li><li>Ability to balance the competing needs of multiple priorities and excel in a dynamic environment
</li><li>Advanced understanding of DevOps concepts including Azure DevOps framework and tools</li><li>
Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)</li><li>
Understanding of microservices oriented architecture and REST APIs and GraphQL
</li><li>Advanced understanding of data quality monitoring and automated testing</li><li>
Strong problem-solving ability</li><li>
Experience with Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferred</li></ul><p><br>
 </p><p><b>Experience</b></p><ul><li>
4+ years of professional data and/or analytics engineering, programming languages and developing with big data technologies</li><li>
3+ years of experience with data architecture and design</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
3+ years of experience with ETL and/or BI tools
</li><li>2+ years of experience in Big-data tools like Spark and Databricks</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Science, Statistics, Data Analytics or equivalent education or work experience</li></ul><p></p><p><b><br>
Annual Salary</b></p>
$100,000.00 - $230,000.00<p>
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations.</p><br>
<p></p>
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.<p></p><p><b><br>
The GEICO Pledge:</b></p><p></p><p><b>
Great Company:</b> At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.</p><p>
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.</p><p></p><p><b>
Great Careers:</b> We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.</p><p></p><p><b>
Great Culture:</b> We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.</p><p>
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.</p><p></p><p><b>
Great Rewards:</b> We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.</p><ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul><p></p><p>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.</p><p></p><p>
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</p></div>

Senior Engineer - Data Analytics

Scale AI

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
<br><div><p>At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact.</p>
<div>
You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME&rsquo;s Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies.</div>
<div>
You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health.</div>
<h3 class="jobSectionHeader"><b>
Responsibilities:</b></h3>
<ul><li>Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers.</li>
<li>Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models.</li>
<li>End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle&mdash;from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation.</li>
<li>Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation.</li>
<li>Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy.</li>
<li>Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems.</li>
<li>Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements:</b></h3>
<ul><li>8+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis).</li>
<li>Proven track record of shipping high-quality data products, models, or features at scale.</li>
<li>Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions.</li>
<li>Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets.</li>
<li>Ability to effectively communicate complex technical concepts to both technical and non-technical audiences.</li>
<li>Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI.</li>
<li>Excited to join a dynamic, hybrid team in either San Francisco or New York City.</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications:</b></h3>
<ul><li>Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant).</li>
<li>Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems.</li>
<li>Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray).</li>
<li>Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling.</li>
<li>Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery).</li>
</ul><div><div><div><div><i>
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You&rsquo;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</i></div></div><div>
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:</div><div>
$228,800&mdash;$286,000 USD</div></div></div><div><div><b><i>
PLEASE NOTE: </i></b><i>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</i></div>
<div><b>
About Us:</b></div>
<div><i>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</i></div>
<div><i>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</i></div>
<div><i>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i></div>
<div><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></div>
<div><b><i>
PLEASE NOTE: </i></b><i>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our </i><i>privacy policy</i><i> for additional information.</i></div></div></div>

Staff Forward Deployed Data Scientist/Engineer

HARAMAIN SYSTEMS INC.

<div><h1 class="jobSectionHeader"><b>Job Description: Senior Azure Data Engineer: NJ/NY Metro area preferred</b></h1><h2 class="jobSectionHeader"><b>
Location</b></h2><p>
New York, NY remote</p><h2 class="jobSectionHeader"><b>
Employment Type</b></h2><p>
Full-Time</p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
We are seeking a highly skilled <b>Azure Data Engineer</b> to join our team and play a key role in designing, building, and maintaining scalable data solutions on Microsoft Azure. The ideal candidate will have strong expertise in cloud-based data engineering, ETL pipelines, and data integration, with a focus on enabling advanced analytics and business intelligence.</p><p></p><h2 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h2><ul><li><p>
Design, develop, and maintain <b>data pipelines</b> and ETL processes using Azure Data Factory, Databricks, and Synapse Analytics.</p></li><li><p>
Build and optimize <b>data lakes, data warehouses, and data models</b> to support reporting and analytics.</p></li><li><p>
Collaborate with business stakeholders, data scientists, and analysts to understand requirements and deliver high-quality solutions.</p></li><li><p>
Implement <b>data governance, security, and compliance</b> best practices across Azure environments.</p></li><li><p>
Monitor, troubleshoot, and optimize data workflows for performance and reliability.</p></li><li><p>
Work with structured and unstructured data sources, integrating data from multiple systems.</p></li><li><p>
Support migration of on-premise data systems to Azure cloud.</p></li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Required Skills &amp; Qualifications</b></h2><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or related field.</p></li><li><p>
5+ years of experience in <b>data engineering</b> with at least 2+ years on <b>Azure cloud</b>.</p></li><li><p>
Strong hands-on experience with:</p><ul><li><p><b>
Azure Data Factory</b></p></li><li><p><b>
Azure Databricks / Spark</b></p></li><li><p><b>
Azure Synapse Analytics</b></p></li><li><p><b>
Azure SQL Database / Cosmos DB</b></p></li></ul></li><li><p>
Proficiency in <b>SQL, Python, and PySpark</b>.</p></li><li><p>
Experience with <b>data modeling, data warehousing, and ETL design</b>.</p></li><li><p>
Knowledge of <b>Azure DevOps</b> and CI/CD pipelines for data solutions.</p></li><li><p>
Familiarity with <b>Power BI</b> or other visualization tools is a plus.</p></li><li><p>
Excellent problem-solving, communication, and collaboration skills.</p></li></ul><br>
This is a remote position.</div>

Sr Azure Data Engineer: FTE: NJ/NY Metro area preferred

Explore 542+ Gcp data engineer in New York this December. Find roles across top companies and apply now to boost your career.

542 gcp data engineer jobs IN New York

GCP Data Engineer

Software Engineer

Google Cloud Industry Consultant - Technical Sales

Software Engineer

Senior Engineer - Data Analytics

Staff Forward Deployed Data Scientist/Engineer

Sr Azure Data Engineer: FTE: NJ/NY Metro area preferred