database administrator

senior data engineer

data engineer 2

data engineer, business solutions Jobs in New York

data engineer, business solutions

desktop engineer

database engineer

designworks

Key Responsibilities: 1. Design, implement, and maintain database systems to ensure data integrity, security, and performance. 2. Develop and implement database architectures, data models, and schema. 3. Ensure database security, backup, and recovery procedures are in place. 4. Optimize database performance, query optimization, and indexing. 5. Collaborate with cross-functional teams, including development, QA, and operations. 6. Troubleshoot and resolve database issues, including data corruption and performance degradation. 7. Stay up-to-date with industry trends, emerging technologies, and database best practices. Requirements: 1. Bachelor's degree in Computer Science, Information Technology, or related field. 2. Advanced degree (e.g., MS) preferred. 3. Minimum 5 years of experience in database administration. 4. Professional certifications, such as Oracle OCP, Microsoft MCSE, or IBM DB2. 5. Strong technical and problem-solving skills. 6. Ability to work in a fast-paced environment. 7. Proficiency in database management systems, such as Oracle, Microsoft SQL Server, or IBM DB2. Nice to Have: 1. Experience with cloud-based database services, such as Amazon RDS or Google Cloud SQL. 2. Knowledge of database security best practices and compliance regulations. 3. Familiarity with data warehousing, business intelligence, and data analytics.

Database Administrator

Audax Group

<div><div><p>Founded in 1999, Audax Group is a leading alternative investment manager with offices in Boston, New York, San Francisco, London and Hong Kong. With approximately $42 billion of assets under management and more than 475 employees, Audax is a leading capital partner for middle market companies, operating through three business lines: Audax Private Equity, Audax Private Debt, and Audax Strategic Capital.</p>
<p>
For more information, visit the Audax Group website www.audaxgroup.com. or follow us on LinkedIn.</p></div><p></p><p><b><br>
POSITION SUMMARY:</b></p>
<p>
Audax is looking for a dynamic, motivated Data Engineer to join the business solutions team in our NYC office. This position will have responsibility for technical design, implementation, support and maintenance of the firm's strategic data warehouse. This position will also play a key role in selection, design, and implementation of data ingestions, integration and transformation technologies.</p>
<p>
The candidate will have the opportunity to utilize a wide range of internal and external data sources to drive insights and growth at Audax across the Private Debt strategy. The candidate will have access to the top middle market investment professionals and help to devise a scalable data infrastructure and strategy to meet the needs of our investment strategy and growth plans.</p>
<p><b>
RESPONSIBILITIES:</b></p>
<p><b>
Designing, implementing, maintaining and scaling the Audax data ecosystem</b></p>
<ul>
<li>Working with business solutions and private debt professionals to address the firm's business priorities in an innovative and scalable way.</li>
<li>Help design, implement, and grow private debt's Snowflake data infrastructure and capabilities.</li>
<li>Assist in data architecture for AI enablement.</li>
<li>Review data work done internally and externally and provide meaningful feedback and insights.</li>
<li>Implement best practices in data transformation and storage.</li>
<li>Tackling new data sources and devising the best way to distill and store data.</li>
<li>Solving problems and troubleshooting data issues as they arise</li>
</ul>
<p><b>Technology Competencies</b></p>
<ul>
<li>Knowledge of/Experience designing, building, and maintaining a scalable data architecture.</li>
<li>Excellent understanding and proven experience in the areas of data transformation and storage.</li>
<li>Experience designing and implementing optimal data schema</li>
<li>Understanding of different data use cases and the most effective way to address them</li>
<li>Experience working with cloud-based data storage technologies (Snowflake)</li>
<li>Knowledge of/Experience with implementing best practices in data governance</li>
</ul>
<p><b>REQUIREMENTS/QUALIFICATIONS:</b></p>
<ul>
<li>BS/BA and/or MS in Data engineering, Computer science or related field</li>
<li>2-4 years professional experience in a data engineering role</li>
<li>Deep knowledge of data transformation and integration</li>
<li>Deep knowledge of database storage technologies</li>
<li>Experience taking large data sets, and cleaning/distilling these data sets</li>
<li>Ability to think critically and recognize opportunities for optimization</li>
<li>Curiosity to learn and explore new solutions and technologies in the data space</li>
<li>Experience with SQL, cloud database technologies required</li>
<li>Experience with python required</li>
<li>Experience with Alteryx and its advanced capabilities a plus</li>
<li>Experience with Streamlit a plus</li>
<li>Experience with capturing and storing data streams required; experience with demographic and financial data streams, a major plus</li>
<li>Strong written and oral communication skills required</li>
<li>Ability to interact in an efficient and meaningful way with all levels of the organization required</li>
</ul>
<p><b>OTHER DUTIES:</b></p>
<p>
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.</p>
<p><b>
LOCATION: </b>New York, NY. 4 days/week in office. These in-office requirements may change based on the needs of the business.<b>
</b></p><p>For New York City only: The base salary range for this position is <i>$108,000- $130,000</i>. The base salary range represents the estimated low and high end for this position at the time of this posting. Consistent with applicable law, compensation may vary and will be determined based on but not limited to, the skills, qualifications, and experience of the applicant along with the requirements of the position, and Audax reserves the right to modify this pay range at any time. An employee may also be eligible for annual discretionary incentive compensation based on performance.
</p><p>Audax offers a wide range of employee benefits, including health insurance, life insurance, disability insurance, paid time off (including sick leave, parental leave, volunteer leave, and vacation), charitable donation match, family support services (including Bright Horizons and Benefit Advocate Center), and a 401(k) in addition to other benefits.</p><p></p><div><br>
<p>
 This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.</p>
<p><b>
Audax Management Co. is an equal opportunity employer.</b></p>
<p>
Please note that Audax Group and its affiliated entities do not accept unsolicited resumes from a third-party recruiting agency not currently under a signed agreement. Any unsolicited resume that is sent to directly to Audax Group or one of its affiliated entities, or its employees, including those submitted to hiring managers by a third-party recruiting agency not currently under a signed agreement, will be considered property of Audax Group. If a third-party recruiting agency submits a resume without an agreement, Audax Group or its affiliated entities explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the third-party recruiting agency. Any third-party recruiting agency should contact either a member of the Talent Acquisition or Human Resource team at Audax Group, in conjunction with a valid, fully executed contract for service based upon a specific job opening.</p></div></div>

Data Engineer, Business Solutions

Plum Inc

<div><p>PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person&rsquo;s contributions and ideas are critical to the growth of the company.</p><p>
This is a fully remote position, open to candidates living in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team &mdash; including sales, marketers, and financial services experts &mdash; who stay connected through Slack, video calls, and regular team and company-wide meetings. We&rsquo;re a team that knows how to work hard, have fun, and make a meaningful impact&mdash;both together and individually.</p><h3 class="jobSectionHeader"><b>
Job Summary</b></h3><p>
We are seeking a candidate with experience as, or applicable to, a Senior Data Engineer role with significant demonstrated experience using Python in a cloud environment to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client systems. The Senior Data Engineer is critical in building the data infrastructure that powers Plum&rsquo;s next-generation AI-driven products.</p><p>
You will work with a modern data stack including Python, Databricks, AWS, Delta Lake, and more. As a senior member of the team, you&rsquo;ll take ownership of architectural decisions, system design, and production readiness&mdash;working with team members to ensure data is reliable, accessible, and impactful.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li>Design and architect end-to-end data processing pipelines: ingestion, transformation, and delivery to the Delta Lakehouse.</li>
<li>Integrate with external systems (e.g., CRMs, file systems, APIs) to automate ingestion of diverse data sources.</li>
<li>Develop robust data workflows using Python and Databricks Workflows.</li>
<li>Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control.</li>
<li>Contribute to the evolution of our Lakehouse architecture to support downstream analytics and machine learning use cases.</li>
<li>Monitor, troubleshoot, and optimize data workflows in production.</li>
Collaborate with cross-functional teams to translate data needs into scalable solutions.<br>
<li>
</li></ul><p><b>Requirements</b></p><ul>
<li>
Bachelor's Degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience.</li>
<li>2+ years of experience using Python building and maintaining production-grade data pipelines in a cloud environment.</li>
<li>Proven expertise in Python and SQL for data engineering tasks.</li>
<li>Strong understanding of lakehouse architecture and data modeling concepts.</li>
<li>Experience working with Databricks, Delta Lake, and Apache Spark.</li>
<li>Hands-on experience with AWS cloud infrastructure.</li>
<li>Track record of integrating data from external systems, APIs, and databases.</li>
<li>Strong problem-solving skills and ability to lead through ambiguity.</li>
Excellent communication and documentation habits.<br>
<li>
</li></ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3><ul>
<li>Masters in Computer Science, Engineering, Physics or related field.
</li><li>Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains.</li>
<li>Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models.</li>
<li>Experience using ETL tools such as Fivetran or Airbyte.</li>
<li>Understanding of data governance, security, and compliance best practices.</li>
</ul><p><b>
Benefits</b></p><ul>
<li>
A fast-paced, collaborative startup culture with high visibility.</li>
<li>Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.</li>
<li>Opportunity to make a meaningful impact in building a company and culture.</li>
<li>Equity in a financial technology startup.</li>
<li>Generous health, dental, and vision coverage for employees and family members + 401K.</li>
<li>Eleven paid holidays and unlimited discretionary vacation days.</li>
<li>Competitive compensation and bonus potential.</li>
</ul><p></p><p>
Interview Process:
</p><p>Plum is an organization who counts on the contributions and ideas from every member of our team. Our interview process may include a phone screen, a video call and a live project. While we understand one may use AI to develop a resume, we expect you to bring your authentic self during our interviews, and we may disqualify candidates who use bots or AI to contribute to their answers. We are looking for not only skill, but also a desire to learn and thrive with Plum. Please advise us of any accommodations you may need prior to your call and we will do all we can to accomodate you.
</p><p></p><ul><li>We are not accepting outreach or resumes from external recruiters. We are only accepting qualified eligible applicants directly for consideration. Any candidates submitted from agencies or recruiters will be considered a gift.</li></ul></div>

Senior Data Engineer

Uber

<div><b>About the Role</b>
<br>
<br>
The Mobility Simulation &amp; Planning (MSP) Platform team builds the systems that power pricing and incentive budget planning across Uber's global marketplace. As part of this team, you'll help design and scale the core platform that drives billions in marketplace spend decisions, directly influencing rider affordability and driver earnings. You'll collaborate with Product, Science, and Operations to solve complex technical challenges offering you a unique opportunity to grow as a software engineer while making a measurable business impact at global scale.<br>
- What You Will Do -<br>
<ul><li>
Partner with Engineering, Product, and Operations to define requirements, design data models, and deliver reliable production solutions.</li><li>
Design and build scalable, efficient data pipelines and frameworks to power large-scale decision systems and model infrastructure .</li><li>
Drive improvements in data quality, reliability, and observability, ensuring data systems scale with Uber's business needs.</li><li>
Lead initiatives to modernize data workflows from data orchestration (Airflow, Temporal) to distributed processing (Spark, Ray etc).</li><li>
Mentor engineers and contribute to establishing best practices for data design, governance, and performance.</li></ul><br>
- Basic Qualifications -<br>
<ul><li>
Bachelor's degree (or equivalent) in Computer Science, Engineering, or a related field</li><li>
4+ years of experience in data engineering or backend development</li><li>
Strong SQL and data modeling skills</li><li>
Hands-on experience with distributed data frameworks (Spark, Flink, Ray, Beam etc)
</li><li>Proficiency in at least one programming language (Python, Go, or Java etc)</li><li>
Experience building scalable ETL pipelines and working with modern data infrastructure (Hive, Presto, BigQuery, Snowflake, etc.)</li></ul><br>
- Preferred Qualifications -<br>
<ul><li>
6+ years of experience designing and operating large-scale data systems in production</li><li>
Deep understanding of data warehousing, system performance, and optimization</li><li>
Proven ability to drive complex projects, influence cross-functional teams, and mentor peers</li><li>
Self-driven and passionate about scalability, automation, and system efficiency</li><li>
Familiarity with workflow orchestration frameworks (eg:- Airflow, Temporal etc) is a plus</li></ul><br>
<br>
<br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

CoreWeave

<div><div><p>CoreWeave is the AI Hyperscaler&trade;, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024.</p>
<p>
As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.</p>
<p>
CoreWeave powers the creation and delivery of the intelligence that drives innovation.</p></div><p><b>
What You'll Do:</b><br>
The Data Engineering team builds foundational datasets and analytics services that enable BI and data science across CoreWeave. We aim to democratize insights and foster a culture where data-driven decision-making thrives at every level of the organization.</p>
<p><b>
About the Role:</b><br>
We're seeking a skilled Data Engineer to develop foundational data models that empower our Business Intelligence engineers, analysts, and data scientists to efficiently work with and gain insights from our data. You'll create and maintain star and snowflake schemas within our lakehouse environment, generate key datasets and metrics essential to tracking business health, and optimize the flow and storage of data to support analytical workloads across the organization.</p>
<p><b>
Who You Are:</b></p>
<ul>
<li><p>Hands-on experience applying Kimball modeling principles to large datasets</p>
</li>
<li><p>Expertise with analytical table/file formats such as Iceberg, Hudi, Parquet, Avro, and ORC</p>
</li>
<li><p>Proven experience optimizing MPP databases (StarRocks, Snowflake, BigQuery, Redshift)</p>
</li>
<li><p>3&ndash;5+ years of programming experience in Python, Java, or Scala in a professional setting</p>
</li>
<li><p>Advanced SQL skills, with the ability to write, optimize, and debug complex queries</p>
</li>
<li><p>Hands-on experience with Airflow for batch orchestration and distributed computing frameworks like Spark or Flink</p>
</li>
<li><p>Experience managing systems deployed on Kubernetes is highly desirable, but not required</p>
</li>
</ul><p><b>Preferred:</b></p>
<ul>
<li><p>Experience designing and optimizing large-scale data pipelines</p>
</li>
<li><p>Strong understanding of data lakehouse architectures and analytics workflows</p>
</li>
</ul><p><b>Wondering if you're a good fit?</b><br>
We believe in investing in our people and value candidates who bring their own diverse experiences to our teams &ndash; even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team:</p>
<ul>
<li><p>You love designing and optimizing data models for analytics</p>
</li>
<li><p>You're curious about building efficient, scalable data pipelines</p>
</li>
<li><p>You're an expert in turning complex data into actionable business insights</p>
</li>
</ul><p><b>Why CoreWeave?</b><br>
At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you won't want to miss. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>
<ul>
<li><p>Be Curious at Your Core</p>
</li>
<li><p>Act Like an Owner</p>
</li>
<li><p>Empower Employees</p>
</li>
<li><p>Deliver Best-in-Class Client Experiences</p>
</li>
<li><p>Achieve More Together</p>
</li>
</ul><p>We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!</p>
<p>
The base salary range for this role is $109,000 to $160,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p><div><p><b>
What We Offer</b></p>
<p>
The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.</p>
<p>
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>
<ul>
<li>Medical, dental, and vision insurance - 100% paid for by CoreWeave</li>
<li>Company-paid Life Insurance</li>
<li>Voluntary supplemental life insurance</li>
<li>Short and long-term disability insurance</li>
<li>Flexible Spending Account</li>
<li>Health Savings Account</li>
<li>Tuition Reimbursement</li>
<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>
<li>Mental Wellness Benefits through Spring Health</li>
<li>Family-Forming support provided by Carrot</li>
<li>Paid Parental Leave</li>
<li>Flexible, full-service childcare support with Kinside</li>
<li>401(k) with a generous employer match</li>
<li>Flexible PTO</li>
<li>Catered lunch each day in our office and data center locations</li>
<li>A casual work environment</li>
<li>A work culture focused on innovative disruption</li>
</ul>
<p><b>Our Workplace</b></p>
<p>
While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration</p>
<p>
California Consumer Privacy Act - California applicants only</p>
<p><i>
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.</i></p>
<p><i>
As part of this commitment and consistent with the </i><i>Americans with Disabilities Act (ADA)</i><i>, CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: </i><i>careers@coreweave.com</i><i>.</i></p><br>
<p></p>
<p><b>
Export Control Compliance</b></p>
<p>
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. &sect; 1157, or (iv) asylee under 8 U.S.C. &sect; 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.</p></div></div>

Data Engineer 2

Fox Corporation

<div><div>OVERVIEW OF THE COMPANY</div>
Fox Corporation<div></div>
Under the FOX banner, we produce and distribute content through some of the world&rsquo;s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.<div></div><div>
JOB DESCRIPTION</div><div>
The Staff Data Engineer serves as a technical and strategic leader responsible for building, optimizing, and governing the company&rsquo;s data and analytics ecosystem.</div><div><br>
This includes designing robust data pipelines, developing semantic layers and metrics frameworks, and ensuring that business intelligence platforms deliver trusted, consistent, and timely insights.</div><div></div><div>
In this role, you will bridge the gap between raw data and business outcomes &mdash; enabling teams across Content, Ad Sales, Marketing, and Finance to make data-driven decisions at scale.<br>
<br>
A SNAPSHOT OF YOUR RESPONSIBILITIES</div><ul><li><div>
Design and build scalable ETL/ELT pipelines using tools like Databricks, DBT, Matillion, and Airflow to process structured and unstructured data.</div></li><li><div>
Develop data models and transformations for analytics use cases (star schema, data vault, or lakehouse).</div></li><li><div>
Optimize data processing for performance, reliability, and cost efficiency across Databricks, Redshift, and Snowflake environments.</div></li><li><div>
Implement real-time and batch data ingestion from streaming, ad tech, and operational systems.</div></li></ul><ul><li><div>
Lead the design and development of semantic layers that power business reporting (Looker, Tableau, Power BI, or ThoughtSpot).</div></li><li><div>
Establish metrics standardization and a unified business glossary to ensure consistent definitions across departments.</div></li><li><div>
Build automated data models, dashboards, and data marts for stakeholders such as Ad Sales, Research, and Content Strategy.</div></li><li><div>
Partner with Analytics and Finance teams to deliver executive-level reporting (KPI frameworks, performance scorecards, and forecasting inputs).</div></li><li><div>
Implement BI performance optimization: caching, query tuning, and dashboard load improvements.</div></li></ul><ul><li><div>
Enforce data validation, lineage, and observability frameworks using tools like Great Expectations, Monte Carlo, or Databricks Unity Catalog.</div></li><li><div>
Ensure all datasets and dashboards meet governance, compliance, and privacy standards (GDPR, CCPA, internal policies).</div></li><li><div>
Define data quality SLAs and implement automated monitoring for critical pipelines and BI assets.</div></li><li><div>
Drive adoption of metadata management, documentation, and versioning best practices across data and BI environments.</div></li></ul><ul><li><div>
Partner with Product, Finance, AdTech, and Data Science teams to translate business requirements into scalable data and BI solutions.</div></li><li><div>
Collaborate with BI developers, analysts, and data scientists to ensure models and datasets are optimized for analytics and experimentation.</div></li><li><div>
Serve as the technical liaison between the Data Engineering and Analytics teams, ensuring efficient data flow and model usability.</div></li><li><div>
Participate in data design reviews, architecture sessions, and governance boards to align technical decisions with business priorities.</div></li></ul><ul><li><div>
Define the technical roadmap for data and BI engineering, aligning with enterprise data strategy and architecture.</div></li><li><div>
Mentor engineers and analysts on best practices for SQL optimization, data modeling, and visualization design.</div></li><li><div>
Champion data democratization &mdash; empowering users through self-service capabilities and well-structured data models.</div></li><li><div>
Evaluate emerging technologies (semantic layer tools, AI-powered analytics, agentic data automation) to advance the BI ecosystem.</div></li></ul><div></div><div>
WHAT YOU WILL NEED</div><ul><li><div>
8+ years of experience in Data Engineering, BI Engineering, or Data Architecture roles.</div></li><li><div>
Expert in SQL, Python, and Spark (PySpark or Scala).</div></li><li><div>
Hands-on experience with Databricks, Redshift, Snowflake, or BigQuery.</div></li><li><div>
Proficiency with data modeling (fact/dimension, star schema, lakehouse).</div></li><li><div>
Experience with workflow orchestration tools (Airflow, Dagster, or Prefect).</div></li><li><div>
Advanced understanding of BI tools &mdash; Looker (LookML), Tableau, Power BI, or equivalent.</div></li><li><div>
Familiarity with semantic modeling, data marts, and metrics governance.</div></li><li><div>
Solid experience with version control (Git), CI/CD for data, and testing frameworks.</div></li><li><div>
Proven ability to balance engineering depth with analytical accessibility &mdash; building systems that both scale and empower non-technical users.</div></li></ul><ul><li><div>
Experience in media, streaming, or digital advertising data ecosystems.</div></li><li><div>
Familiarity with ad delivery data (Freewheel, Google Ad Manager, Innovid) and audience metrics (Nielsen, Comscore).</div></li><li><div>
Understanding of machine learning feature pipelines or real-time audience segmentation.</div></li><li><div>
Experience implementing DBT Cloud, Databricks Unity Catalog, or ThoughtSpot Modeling Language (TML).</div></li><li><div>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related quantitative field.</div></li></ul><div></div><div>
#Ll-CC1</div><div>
#Ll-Hybrid</div><div></div><div>
Learn more about Fox Tech at <div>https://tech.fox.com</div></div>
#foxtech<div></div><div><i>
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.</i></div><div></div>
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $160,000.00-198,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.<div></div><div><div>
View more detail about FOX Benefits.</div></div></div>

Staff Data Engineer

Notion

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 <br/>
 <br/>
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Datastore infrastructure is the backbone of any software product, and at Notion, it plays a critical role in ensuring our millions of users have a fast, reliable, and secure experience. Our Datastore Infra Team builds and maintains the systems that power the databases and caches behind every Notion feature. From scaling our relational and NoSQL databases to designing data migration frameworks, we ensure that Notion&rsquo;s data layer remains robust and future-proof.
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 As part of the Datastore Infra Team, you&rsquo;ll have a unique opportunity to shape how Notion manages and scales its foundational data services, enabling innovation across the company. This role is based out of our New York City or San Francisco office.
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  What You'll Achieve
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   You will drive the evolution of our datastore infrastructure to meet the needs of over 100 million global users and support the rapid growth of our product and business. This includes ensuring our systems are reliable, efficient, and scalable, while evaluating and integrating new technologies to keep us ahead of emerging challenges. Your work will empower our engineers to build features with confidence, backed by a strong datastore foundation.
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   You will design and deliver a Datastore Platform that simplifies how teams manage and interact with data at scale. From flexible schema management to migrating hundreds of billions of records, you&rsquo;ll develop tools and frameworks that make it easier for engineers to innovate while maintaining safety, efficiency, and performance.
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   You will develop the skills and confidence to debug live production systems with minimal disruption, whether replacing components or managing failovers. You will participate in an on-call rotation, responding to incidents to uphold service reliability and quickly restore normal operations.
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   You will partner with product engineers and other infra teams to ensure our datastore infrastructure aligns with evolving business needs and product goals
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  Skills You'll Need To Bring
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   Familiarity with Datastore Systems: You have experience with large scale relational databases, distributed caches, and NoSQL systems. You understand how to design, scale, and optimize them to support growing business needs. Our team utilizes cloud-based datastore solutions like AWS RDS, DynamoDB, and ElastiCache to power our infrastructure.
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   Systems thinker: You understand distributed systems and can design solutions that account for tradeoffs like consistency, latency, and scalability.
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   Pragmatic problem-solver: You prioritize business impact and understand the balance between craft, speed, and long-term maintainability. You&rsquo;re opinionated but not ideological, and you learn new technologies as you go.
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   Ownership and initiative: You thrive in a fast-moving, unstructured environment and are comfortable taking ownership of ambiguous problems. You act with a bias toward action and focus on results.
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   Customer Empathy: You excel at collaborating across teams, offering guidance and solutions to unblock engineers and support them in building reliable systems. With empathy at the core of your approach, you focus on addressing the needs of those who depend on datastore infrastructure.
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  Nice To Haves
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   Experience with change data capture tools like Debezium for real-time data replication and migrations.
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   Experience working closely with application developers, understanding their workflows, and building datastore solutions that address their challenges, such as schema changes, performance, and data access patterns.
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 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
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 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.
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 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco. and New York, the estimated base salary range for this role is $130,000 - $240,000 per year.
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 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
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Software Engineer, Datastore

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