data engineering manager

Roblox

<div>San Mateo, CA, United StatesEngineeringID: 6123</div>
<br><p></p><div><div><div><p>Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences&ndash; all created by our global community of developers and creators.
</p><p>At Roblox, we&rsquo;re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.<b> </b>We&rsquo;re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
</p><p>A career at Roblox means you&rsquo;ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p></div><h2 class="jobSectionHeader"><b>
Data Services:</b></h2>
<p>
As an Engineering Manager of Data Services, you will be a trailblazer, building and leading a high-performing engineering team. Your team will initially focus on building a self-served, exa-byte scale Data Services for ingestion, stream data processing, serving. You will set a high technical bar, champion Roblox's leadership principles, and drive the delivery of innovative products that delight our users.</p>
<h2 class="jobSectionHeader"><b>
You Will:</b></h2>
<ul><li><b>Build and Lead:</b> Attract, hire, mentor, and inspire a diverse team of exceptional engineers. Cultivate a collaborative and inclusive environment where everyone thrives.</li>
<li><b>Set the Bar:</b> Establish and maintain a high standard for technical excellence. Ensure your team delivers reliable, scalable, and secure solutions that adhere to Roblox's engineering principles.</li>
<li><b>Cross-Functional Collaboration:</b> Partner with product managers,data engineers, data scientists and other stakeholders to understand business needs and translate them into technical solutions.</li>
<li><b>Strategic Planning:</b> Contribute to the overall engineering strategy for Roblox. Find opportunities for innovation and growth, and prioritize projects that deliver the most value to our users.</li>
<li><b>Continuous Improvement:</b> Foster a culture of learning and continuous improvement within your team. Encourage experimentation, knowledge sharing, and adoption of new technologies.</li>
</ul><h2 class="jobSectionHeader"><b>You Have:</b></h2>
<ul><li><b>Proven Leadership:</b> Demonstrated experience leading and scaling engineering teams, ideally in a high-growth environment.</li>
<li><ul><li>2+ years of experience in engineering management - setting roadmap, charter, vision, key metrics for the engineering team</li>
</ul></li><li><b>Technical Expertise:</b> Deep understanding of data principles, architectures, and technologies.</li>
<li><ul><li>8+ years of experience with big data tools and technologies like Kafka, Flink, Druid, Spark, optimized Sql, Map Reduce, HDFS, Hive</li>
<li>Experience with programming languages like Golang, Java, Python, Helm, Terraform</li>
<li>Experience working with Cloud providers like AWS - S3, EMR, EKS</li>
<li>A graduate degree or equivalent experience in Computer Science, Engineering, or a related technical field is a plus</li>
</ul></li><li><b>Roblox Alignment:</b> Strong alignment with Roblox's leadership principles, including a focus on respect, safety, creativity, and community.</li>
<li><b>Excellent Communication:</b> Exceptional communication and interpersonal skills. Ability to build rapport with team members, stakeholders, and leaders across the organization.</li>
<li><b>Problem-Solving:</b> Strong analytical and problem-solving skills. Ability to break down complex challenges and develop creative solutions.</li>
<li><b>Passion for Data :</b> Data driven in decision making and eager to make Data Findable, Accessible, Interoperable and Reusable</li>
<li><b>Passion for Roblox:</b> A genuine excitement for our platform and the possibilities of the metaverse.</li>
</ul><div><div><div><p>
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on <b>this page</b>.</p></div><div>
Annual Salary Range</div><div>
$295,250&mdash;$345,040 USD</div></div></div><div><p>
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).</p>
<p>
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.</p></div></div></div>

Engineering Manager - Data Services

Suncoast Credit Union

<div>Overview:
<div><b>
Compensation:</b> $105,000 - $150,000 annually <i>based on experience and credentials</i></div><div><b>
Location Type:</b> Remote (candidate must reside in FL)<br>
<b>Position Type:</b> Full Time</div><div></div><div><br>
The Data Engineering Manager will oversee the credit union's data engineering team, ensuring the design, evaluation, and testing of robust data infrastructures. This role involves managing the daily operations of the data engineering team, coordinating with various departments to meet data needs, and implementing best practices for data management and infrastructure. The manager will foster a culture of innovation, collaboration, and continuous improvement within the team to support the organization's strategic goals. Additionally, the manager will assign work and delegate responsibilities to staff, monitoring progress to ensure goals are met and high-quality member service is maintained.</div>
Responsibilities:
<ul><li>Manage the daily operations of the data engineering team, fostering a culture of innovation, collaboration, and continuous improvement.</li><li>
Manages the Credit Union's data infrastructure to develop operational data pipelines</li><li>
Guide the team in utilizing Azure Data Factory to create pipelines, tuning databases and ETL for maximum performance, performing data profiling, cleansing, and auditing, architecting advanced data solution</li><li>
Supervise the design and development of ETL processes for extracting data from multiple source systems, transforming it, and loading it into data platforms</li><li>
Leverages the Agile framework to prioritize and complete ad hoc and department-related tasks</li><li>
Leverage existing data infrastructure to fulfill data-related requests, perform data housekeeping,cleansing, normalization, hashing, and implement required data model changes</li><li>
Oversee the deployment of data architectures based on standards set by the manager to drive Suncoast's data strategy and transform business strategies into information architectures.</li><li>
Provides technical assistance to end-users and technical staff regarding system and reporting issues.
</li><li>Inform end-users and technical support staff on data warehouse applications and reporting services.</li><li>
Review and recommend new methods or procedures to make daily operations more efficient</li><li>
Perform considerable short-term planning, scheduling, and coordinating to develop and implement business objectives</li><li>
Set goals for assigned teams to achieve operational and strategic results</li><li>
Provide guidance, mentoring, and development opportunities for directly reporting staff</li><li>
Cultivate strong working relationships, build trust among team members, and respond appropriately to employees' concerns</li><li>
Assist with the development, monitoring, and maintenance of the annual budget</li><li>
Assist with regulatory compliance to ensure work is completed in accordance with applicable laws and government regulations</li><li>
Maintain knowledge and understanding of current trends, laws, and issues affecting area of expertise</li><li>
Attend educational events to increase professional knowledge</li><li>
Complete annual compliance and info security training to understand employees' role in maintaining effective compliance and security programs</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s degree in computer science, data science, information technology, information systems, engineering, mathematics or a related field required.</li><li>
5 or more years progressively responsible experience in data engineering, preferably with a financial institution. Previous supervisory experience required.</li><li>
Advanced technical skills including SQL DW, SSRS, PowerBI, and other data visualization software knowledge required.</li><li>
Proficient knowledge of Azure or Apache Spark required</li><li>
Proficiency in SQL, Python, Delta Lake, Azure Data Factory, and other relevant technologies</li><li>
Skills in using Databricks Unity Catalog for data management and proficiency in writing and managing Databricks notebooks</li><li>
A solid understanding of Blob / Data Lake Storage.</li><li>
Excellent organization, prioritization and analytical skills to effectively manage areas of responsibility and attain organizational goals</li><li>
Excellent written, verbal, and interpersonal communication skills to interact effectively with members, staff, vendors, and government regulators</li><li>
Ability to analyze and resolve complex problems or situations</li><li>
Ability to positively influence others regarding policies, practices, and procedures</li><li>
Strong knowledge and understanding of credit union products, services, policies, and procedures preferred</li><li>
Strong knowledge and understanding of regulatory compliance</li><li>
Strong knowledge and understanding of credit union computer systems and software applications required to perform job duties preferred</li></ul><p></p><div><b><br>
Benefits</b></div><ul><li><b>
Financial Well-Being:</b> Bonus Program up to 18%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts</li><li><b>
Wellness:</b> Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage</li><li><b>
Work-Life Balance:</b> 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO</li><li><b>
Community Involvement:</b> Paid Volunteer Hours</li><li><b>
Growth:</b> Degree Assistance up to $5,000 per year</li></ul><div><i>
For more information, including additional benefits, please visit our benefits website at</i> <b>https://careers.suncoastcreditunion.com/benefits</b></div><div></div><div><b><br>
Company Overview</b></div><div>
Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community.<br>
<i>For more information, please visit our careers site at</i> <b>https://careers.suncoastcreditunion.com/</b></div></div>

Manager of Data Engineering

Brother USA

<div>Role Overview:
<p>
The <b>Manager, Data Engineering</b> is responsible for leading the development and optimization of the organization's data infrastructure to enable advanced analytics and data-driven decision-making. This role oversees the design, integration, and governance of data pipelines and platforms, ensuring they are scalable, reliable, and aligned with business objectives. Collaborating with members of the Analytics &amp; Insights (A&amp;I) team, IT, and other stakeholders, this role ensures that data engineering practices drive measurable business outcomes. By fostering a high-performing team and advancing organizational analytics capabilities, this role plays a key part in transforming data into actionable insights and contributes to the team&rsquo;s mission to transform the decision making culture at brother through data &amp; science. The Manager, Data Engineering, will be responsible for establishing robust and secure data infrastructure, delivering high quality, accessible and reliable data for analytics and decision-making, and enhancing the performance of the data engineering team all while advancing the organizational maturity of the data engineering team and practices.</p>
Duties &amp; Responsibilities:
<p>
Data Engineering</p><ul><li><div><ul><li>
Lead the Development of Data Infrastructure: Oversee the design and implementation of scalable, high-performing data pipelines and platforms, ensuring seamless integration of data from various sources</li><li>
Establish Governance Standards: Implement data governance policies, ensuring compliance, security, and data quality standards are consistently met</li><li>
Drive Innovation in Analytics Enablement: Partner with Data Scientists to design machine learning pipelines, enabling advanced analytics through optimized data preparation and feature engineering workflows</li><li>
Design and Oversee Data Integration Processes: Direct the integration of data from diverse systems using industry-leading tools such as Databricks, Alteryx, and Azure, ensuring data harmonization for analytical use</li><li>
Optimize Data Performance: Guide the optimization of data structures and workflows to enhance query performance, processing efficiency, and scalability</li><li>
Advance Organizational Capabilities: Stay abreast of emerging technologies, evaluate their relevance, and guide their adoption to improve data engineering practices and analytics outcomes</li><li>
Champion Data Quality: Oversee the implementation of robust data validation and monitoring processes to ensure the accuracy, consistency, and reliability of data assets</li><li>
Support Organizational Strategy: Contribute to the design and implementation of analytics practices, data engineering frameworks, and management methodologies that support the organization&rsquo;s strategic objectives</li><li>
Establish Best Practices: Guide the standardization and adoption of best practices in data engineering, analytics methodologies, project execution, and governance across the team and organization.</li></ul></div></li></ul><p></p><p><br>
Team Management and Operations</p><ul><li><div><ul><li>
Team Leadership and Development: Build and manage a high performing team by providing mentorship, coaching, and development opportunities to enhance technical and professional skills. Foster a collaborative, growth-oriented environment and ensure the team has the necessary resources to excel</li><li>
Performance Management: Set clear objectives, manage workloads, provide regular feedback, and conduct annual performance reviews. Address performance challenges in partnership with HR to build engagement and accountability</li><li>
Competency Development: Support the development of technical and analytical skills within the team, identifying areas for growth and ensuring continuous learning opportunities</li><li>
Coaching and Mentoring: Provide regular coaching to team members to guide their professional development and improve their expertise in data engineering and analytics methodologies</li><li>
Manage Operations: Oversee daily team operations, ensuring projects are completed on time and aligned with organizational goals and priorities</li><li>
Communication: Ensure effective communication within the team and with other departments, sharing relevant project updates, challenges, and outcomes to maintain alignment</li><li>
Team Branding: Advocate for and communicate the team&rsquo;s achievements to highlight their value in driving business outcomes and position them as trusted business partners and subject matter experts</li></ul></div></li></ul><p></p><p><br>
Stakeholder Engagement and Continuous Improvement</p><ul><li><div><ul><li>
Drive Continuous Improvement: Foster a culture of innovation by identifying and automating inefficient processes, optimizing workflows, and applying analytics to improve operations</li><li>
Stakeholder Engagement: Act as a liaison between the team, Analytics &amp; Insights, IT, and business stakeholders to align technical efforts with organizational priorities and drive data-driven transformation goals</li><li>
Collaboration: Partner with data scientists, analysts, and business stakeholders to understand data needs and deliver tailored solution</li></ul></div></li></ul>
Experience &amp; Qualifications:
<p>
Education</p><ul><li><div><ul><li>
Bachelor&rsquo;s degree in computer science, Data Engineering, IT, or related field</li><li>
Master&rsquo;s Degree or MBA - <b><i>Preferred</i></b></li></ul></div></li></ul><p>
Experience</p><ul><li><div><ul><li>
8+ years of data engineering and analytics experience</li><li>
3+ years managing teams and complex data engineering projects</li></ul></div></li></ul><p>
Software/Technical Skills</p><ul><li><div><ul><li>
Experience with Modern data platforms (e.g., Azure, AWS, Snowflake) and ETL/ELT tools (e.g., Alteryx, Databricks)</li><li>
Strong understanding of data governance, security, and compliance best practices</li><li>
Experience with designing data models, warehouses, and pipelines to support advanced analytics</li><li>
Experience with visualization tools (Tableau, Power BI)</li><li>
Familiarity with machine learning frameworks and concepts - <b><i>Preferred</i></b></li></ul></div></li></ul><p>
Other Skills/Knowledge/Abilities</p><ul><li><div><ul><li>
Strong business acumen and ability to align technical efforts with strategic goals</li><li>
Demonstrated ability to manage technical teams, foster collaboration, and deliver results in a dynamic environment</li><li>
Ability to communicate technical content and analytical insights/complex findings in a clear and concise manner to multiple audiences, including senior management</li><li>
Ability to multi-task and manage simultaneous projects</li><li>
Strong analytical and problem-solving skills, with a focus on delivering actionable solutions</li><li>
Excellent communication and interpersonal skills to collaborate with diverse teams and stakeholders effectively</li></ul></div></li></ul>
Additional Details for This Role:
<p>
This role will be a hybrid role. Subject to business needs, employees may work remotely up to two days per week. Assigned office days will be determined by your manager. #LI-Hybrid</p><p></p><p><br>
Base Salary</p><ul><li><div><ul><li>
The targeted base salary range for this position is <b>$130,000 - $160,000 </b>per year.</li><li>
Base salary is determined by the education, experience, knowledge, skills, and abilities of the successful candidate, as well as factors such as internal equity, cost of labor in the hiring location, and alignment with market data.</li></ul></div></li></ul><p></p><p><br>
Additional Compensation</p><ul><li><div><ul><li>
This position is eligible for a <b>15 %</b> bonus at 100% of target, with the opportunity to achieve above 100% dependent on company performance and in alignment with company bonus plans.</li><li>
Bonus awards are discretionary and contingent upon individual performance as well as Brother achieving its corporate objectives, in accordance with the applicable bonus plan in effect.</li></ul></div></li></ul></div>

Manager, Data Engineering

Bunge

<div><div><p>Platform Manager Google Cloud</p><div><div><div>
</div></div></div></div><div></div><p><b>Date: </b>Apr 13, 2026
</p><p><b>Location:</b> Chesterfield, MO -Missouri, US, 63017
</p><p><b>Company: </b>Bunge
</p><p></p><div><div><div><div><div><b>City : </b>Chesterfield<b> </b></div><div><b>State : </b>Missouri (US-MO)<b> </b></div><div><b>Country : </b>United States (US)<b> </b></div><div><b>Requisition Number : </b>44915</div></div></div><br>
</div>
<div></div><div><b>A Day In The Life:</b><br>
The Platform Manager Google Cloud is a critical leadership role within Bunge's Global IT organization. You will lead and inspire a team of talented data engineers responsible for building and maintaining Bunge's next-generation Data Platform. This platform will empower data-driven decision-making across the company, fueling innovation and operational efficiency in areas such as supply chain optimization, risk management, and market analysis. This role requires a strategic thinker with strong technical expertise and a passion for building high-performing teams. You will navigate the challenges of a complex global environment while capitalizing on opportunities to leverage cutting-edge technologies to transform Bunge's data landscape.</div><br>
<div></div>
<div><b>
What You'll Be Doing:</b></div>
<ul><li>Lead and Develop a High-Performing Team: Provide mentorship, coaching, and career development guidance to a team of Data Engineers, fostering a culture of collaboration, innovation, and continuous learning.</li><li>Develop and Execute Data Platform Strategy: Collaborate with stakeholders to define and execute a long-term vision for Bunge's data platform, ensuring alignment with business objectives and industry best practices.</li><li>Oversee Platform Architecture and Development: Lead the design, development, and implementation of a scalable, secure, and reliable data platform, leveraging cloud technologies and modern data engineering principles.</li><li>Ensure Data Quality and Governance: Implement and enforce data governance policies and procedures to maintain data accuracy, consistency, and compliance with regulatory requirements.</li><li>Manage Platform Performance and Optimization: Continuously monitor platform performance, identify areas for improvement, and implement optimization strategies to ensure high availability, scalability, and cost-effectiveness.</li><li>Collaborate with Stakeholders: Build strong relationships with business stakeholders, data scientists, and other IT teams to understand data needs and ensure the platform meets their requirements.</li><li>Stay Current with Industry Trends: Research and evaluate emerging technologies and trends in data engineering and platform development, recommending and implementing innovative solutions to enhance Bunge's data capabilities.</li></ul>
<div><b>
Impact/Dimensions:</b><br>
<ul><li>Global Reach: Influences data strategy and operations across Bunge's global footprint.</li><li>Business Impact: Directly impacts data-driven decision-making across all business units.</li><li>Team Leadership: Manages a team of Data Engineers.</li><li>Be recognized as an external thought leader at Data Engineering and Lake-House architecture in Google Cloud.</li><li>Help shape Data Platform roadmap and vision</li></ul></div>
<div><b>
Major Opportunities and Decisions:</b><br>
<ul><li>Influence the future direction of Bunge's data platform architecture.</li><li>Lead the adoption of cutting-edge data technologies.</li><li>Develop and mentor a high-performing engineering team.</li><li>Ensure an excellence in the Data Platform operation at global scale</li></ul></div>
<div><b>
Management/Leadership:</b><br>
<ul><li>Leadership Style: Collaborative, empowering, results-oriented.</li><li>Mentorship and development of team members.</li><li>Lead Data Strategy and Data Modeling in the Bunge Data Platform</li><li>Leads technical discussion across other data Engineer to ensure best practices, approaches, and implementation.</li><li>Contributes to talent management plans to support business strategies.</li></ul></div>
<div><b>
Key Relations:</b><br>
<ul><li>Internal: Business stakeholders, Data Science team, IT infrastructure teams.</li><li>External: Technology vendors, industry partners.</li></ul></div><br>
<div></div>
<div><b>
Knowledge and Technical Competencies:</b><br>
<ul><li>Cloud Platforms: GCP (Preferred), AWS or Azure</li><li>Data Engineering Tools: Very strong and hands-on experience in Google Cloud Data Analytics: Big Query, DataStream, DataProc</li><li>Skilled in SQL, Python, and DBT/DataForm</li><li>Experience in complex event-driven data pipeline orchestrations.</li><li>Data Warehousing and Data Lake Technologies: BigQuey (Preferred), Snowflake</li><li>Data Governance and Security: Best practices and implementation in Cloud Environments</li><li>Software Development Lifecycle (SDLC): Agile methodologies</li><li>Experience in IaC in Data using Terraform</li><li>Deep understanding of data mesh concepts and modern Lake-House data Architecture</li><li>Deep understanding of Kappa Architecture and experience in CDC ingestion&quot;</li></ul></div><div></div><div><br>
<b>
Skill/Experience Requirements:</b><br>
<ul><li>Bachelor's degree in Computer Science, Information Technology, or related field. Master's degree preferred.</li><li>7+ years of experience in data engineering, with at least 3 years in a management role.</li><li>Experience building and managing large-scale Data Platforms in a cloud environment.</li><li>Proven ability to lead and develop high-performing engineering teams.</li><li>Excellent communication, interpersonal, and stakeholder management skills.</li></ul></div><div></div><div><br>
<b>
Benefits:</b><br>
<ul><li>Health Benefits &ndash; Offering choices so you can enroll in medical, dental and vision to meet your individual needs</li><li>401(k) &ndash; Investing in your future with an automatic 5% company contribution AND matching up to 4% of your contributions.</li><li>Family Support &ndash; Supporting new and growing families by providing 6 weeks of 100% paid parental leave and fertility coverage.</li><li>Tuition Reimbursement &ndash; Contributing to your education by reimbursing $5,000 of tuition expenses annually.</li><li>Time Off &ndash; Providing generous PTO based on professional work experience</li></ul>
 0 &ndash; 9 years: 25 days<br>
 10 &ndash; 19 years: 30 days<br>
 20+ years: 35 day</div><p></p>
<div>
At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~37,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they&rsquo;re grown to where they&rsquo;re needed&mdash;in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com.</div><br>
<div></div>
<div>
Every day our people exemplify these values, which represent Bunge at its core:</div><div><br>
<ul><li><b>We Are One Team </b>&ndash; <b>Collaborative, Respectful, Inclusive</b></li><li><b>We Lead The Way</b> &ndash; <b>Agile, Empowered, Innovative</b></li><li><b> We Do What&rsquo;s Right</b> &ndash; <b>Safety, Sustainability, With Integrity</b></li></ul></div><br>
<div></div>
<div>
If this sounds like you, join us! We value and invest in people who believe in our purpose and are excited to live it every day &ndash; people who are #ProudtoBeBunge</div><br>
<p></p>
<p><br>
<b>Nearest Major Market: </b>St Louis
<br>
<b>Job Segment: </b>Supply Chain Manager, Cloud, Computer Science, Supply Chain, Engineer, Operations, Technology, Engineering</p></div></div><div></div>

Platform Manager Google Cloud

Healthfirst (New York)

<div>The Manager, Information Management supports the delivery of Healthfirst&rsquo;s data platforms and solutions by leading day-to-day execution for a defined set of data products, pipelines, or platform capabilities. This role partners with product owners, architects, governance, and business stakeholders to translate requirements into high-quality, secure, and scalable data assets that enable analytics, regulatory reporting, and business operations. The Manager leads an Agile delivery team (analysts, developers, testers, and/or scrum master support), ensuring reliable delivery, strong operational discipline, and continuous improvement across planning, build, testing, release, and production support.<p><b>
Key Responsibilities</b></p><p>
o Lead delivery execution for assigned data capabilities, ensuring alignment to priorities, timelines, and quality expectations set by product and platform leadership.</p><p>
o Manage and mentor a multidisciplinary team (onshore/nearshore/offshore as applicable), fostering collaboration, accountability, and continuous improvement.</p><p>
o Partner with IT, architecture, and governance to implement scalable, secure, and compliant data solutions leveraging AWS services (e.g., S3, Glue, Lambda, Redshift, Athena).</p><p>
o Translate business requirements into actionable features and user stories; support backlog readiness through refinement, estimation, dependency tracking, and acceptance criteria.</p><p>
o Support stakeholder communication by providing clear status, risks, tradeoffs, and delivery transparency; escalate issues and decisions when needed.</p><p>
o Participate in incident triage and production support for assigned data assets, helping drive root cause analysis, corrective actions, and prevention measures.</p><p>
o Promote modernization and standardization by adopting reusable patterns, metadata-driven approaches, and improved pipeline reliability (including transition away from legacy tools where applicable).</p><p>
o Champion data quality practices (validation, monitoring, lineage awareness, and documentation) to support regulatory reporting and analytics confidence.</p><p></p><p><b>
Minimum Qualifications</b></p><p>
o Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).</p><p>
o 5+ years of experience in data engineering, systems analysis, BI/data platforms, or technical delivery roles supporting large-scale data environments.</p><p>
o 2+ years of experience leading or coordinating Agile delivery (team lead, delivery lead, scrum/iteration leadership, or engineering management).</p><p>
o Working knowledge of AWS data services (e.g., S3, Glue, Lambda, Redshift, Athena) and modern ETL/ELT concepts.</p><p>
o Strong SQL and data troubleshooting skills with the ability to validate logic, investigate defects, and support data integrity.</p><p>
o Strong communication skills and ability to work across technical and business partners to clarify needs and deliver outcomes.</p><p></p><p><b><br>
Preferred Qualifications</b></p><p>
o Experience in healthcare insurance, provider, claims, or regulatory reporting data domains.</p><p>
o Experience supporting cloud migration and data modernization initiatives (including decommissioning or reducing dependency on legacy ETL tools).</p><p>
o Certifications such as CSM, PMP, or AWS (nice to have).</p><p></p><p><br>
Hiring Range*:</p><ul><li><p>
Greater New York City Area (NY, NJ, CT residents): $134,600 - $194,480</p></li><li><p>
All Other Locations (within approved locations): $119,600 - $177,905</p></li></ul>
<p>
As a candidate for this position, your salary and related elements of compensation will be contingent upon your work experience, education, licenses and certifications, and any other factors Healthfirst deems pertinent to the hiring decision.</p>
<p>
In addition to your salary, Healthfirst offers employees a full range of benefits such as, medical, dental and vision coverage, incentive and recognition programs, life insurance, and 401k contributions (all benefits are subject to eligibility requirements). Healthfirst believes in providing a competitive compensation and benefits package wherever its employees work and live.</p>
<ul><li><i>The hiring range is defined as the lowest and highest salaries that Healthfirst in &ldquo;good faith&rdquo; would pay to a new hire, or for a job promotion, or transfer into this role.</i></li></ul><br>
119600-177905</div>

Technical Product Owner, Extracts, Information Management

Honeywell

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 As a Data Engineer, you will be part of a high-performing global team delivering AI- and data-driven solutions for Honeywell&rsquo;s industrial customers, with a focus on IoT and real-time data processing. In this role, you will architect and implement scalable data pipelines and platforms that enable advanced analytics and AI capabilities, including large-scale machine learning models, intelligent automation, and real-time inference. You will work closely with cross-functional engineering and product teams at the intersection of IoT telemetry and modern data technologies to develop reliable, high-impact industrial solutions.
 <br/>
 <br/>
 You will report directly to our Data Engineering Manager and you&rsquo;ll work out of our Atlanta, GA location on a Hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work 100% onsite M-F.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Data Engineering &amp; AI Pipeline Development:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable data capture and processing for AI/ML workloads
  </li>
  <li>
   Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows
  </li>
  <li>
   Develop and optimize RAG (Retrieval Augmented Generation) systems, including vector databases, embedding pipelines, and efficient retrieval mechanisms
  </li>
  <li>
   Create robust data integration solutions that combine industrial IoT data streams with enterprise data sources for AI model training and inference
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   <br/>
  </li>
 </ul>
 <strong>
  DataOps
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement DataOps practices to ensure continuous integration and delivery of data pipelines powering AI solutions
  </li>
  <li>
   Design and maintain automated testing frameworks for data quality, data drift detection, and AI model performance monitoring
  </li>
  <li>
   Create self-service data assets enabling data scientists and ML engineers to access and utilize data efficiently
  </li>
  <li>
   Design and maintain automated documentation systems for data lineage and AI model provenance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Innovation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with ML engineers and data scientists to implement efficient data workflows for model training, fine-tuning, and deployment
  </li>
  <li>
   Drive continuous improvement in data engineering practices and tooling
  </li>
  <li>
   Establish best practices for data pipeline development and maintenance in AI contexts
  </li>
  <li>
   Drive projects to completion while working in an agile environment with evolving requirements in the rapidly changing AI landscape
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  YOU MUST HAVE
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum 3 years of experience in data engineering with a strong grasp of Change Data Capture (CDC), ELT/ETL workflows, streaming replication, and data quality frameworks
  </li>
  <li>
   Deep expertise in building scalable data pipelines using Databricks, including Unity Catalog and Delta Live Tables
  </li>
  <li>
   Strong hands-on proficiency with PySpark for distributed data processing and transformation
  </li>
  <li>
   Solid experience working with cloud platforms such as Azure, GCP, and Databricks, especially in designing and implementing AI/ML-driven data workflows
  </li>
  <li>
   Proficient in CI/CD practices using GitHub Actions, Bitbucket, Bamboo, and Octopus Deploy to automate and manage data pipeline deployments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  WE VALUE
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience building solutions on RAG and Agentic architectures and working with LLM-powered applications
  </li>
  <li>
   Expertise in real-time data processing frameworks (Apache Spark Streaming, Structured Streaming)
  </li>
  <li>
   Knowledge of MLOps practices and experience building data pipelines for AI model deployment
  </li>
  <li>
   Experience with time-series databases and IoT data modeling patterns
  </li>
  <li>
   Familiarity with containerization (Docker) and orchestration (Kubernetes) for AI workloads
  </li>
  <li>
   Strong background in data quality implementation for AI training data
  </li>
  <li>
   Experience working with distributed teams and cross-functional collaboration
  </li>
  <li>
   Knowledge of data security and governance practices for AI systems
  </li>
  <li>
   Experience working on analytics projects with Agile and Scrum Methodologies
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  US PERSON REQUIREMENT
  <br/>
  <br/>
 </strong>
 Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
 <br/>
 <br/>
 <strong>
  Benefits Of Working For Honeywell
  <br/>
  <br/>
 </strong>
 In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here
 <br/>
 <br/>
 <strong>
  About Honeywell
  <br/>
  <br/>
 </strong>
 Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world&rsquo;s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en
 <br/>
 <br/>
 The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 4/3/2026
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.
</div>


Data Engineer

Squarera

<p>We are looking for a Data &amp; Analytics Manager with strong expertise in data to lead a team, drive end to end delivery, and take full ownership of technical and analytical projects. If you have a solid background in data engineering, analytics, and SQL, this role gives you the opportunity to create real business impact while guiding your team toward success.</p><p>What You&rsquo;ll Do:</p><ul><li>Lead, mentor, and manage a high performing team of data engineers and analysts.</li><li>Own end to end delivery of data and analytics projects with full accountability for outcomes.</li><li>Design, build, and maintain scalable data pipelines, dashboards, and analytics solutions.</li><li>Work closely with business stakeholders and technical teams to translate requirements into actionable data solutions.</li><li>Ensure best practices in data architecture, modeling, reporting, and governance.</li><li>Solve complex data challenges and drive continuous improvement across analytics processes.</li></ul><p>What We&rsquo;re Looking For:</p><ul><li>Strong experience in data engineering, analytics, and reporting.</li><li>Expert level SQL skills with a solid understanding of data modeling and core data concepts.</li><li>Proven experience managing teams and delivering complex data projects.</li><li>Proactive mindset with a strong sense of ownership from planning to final delivery.</li></ul><p>Nice to Have:</p><ul><li>Knowledge of Boomi or other integration platforms.</li><li>Experience with cloud based data solutions.</li></ul><p>Why You&rsquo;ll Love This Role:</p><ul><li>Lead impactful data and analytics initiatives across the organization.</li><li>Work with a collaborative and growth focused team.</li><li>Opportunity to innovate, take ownership, and deliver measurable business results.</li></ul><p>Shift: UK Shift (1:00 PM &ndash; 10:00 PM PKT)</p><p>Job Type: Full-time</p><p>Work Location: In person</p><p>Work Location: In person</p>

Data & Analytics Manager

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