senior data warehouse developer

Atos

<div>
 <strong>
  About Atos
  <br/>
  <br/>
 </strong>
 Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. &euro; 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris.
 <br/>
 <br/>
 The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
 <br/>
 <br/>
 <strong>
  Senior Data Engineer
  <br/>
  <br/>
 </strong>
 We are looking for a talented Data Engineer to join our team and play a pivotal role in transforming our data ecosystem. The ideal candidate will have extensive experience in handling data from diverse business areas and managing data sources from a range of commercial and custom tools. They should be proficient in data engineering technologies, including Snowflake, Talend (or similar ETL tools), and bring expertise in Python, dbt, and Airflow. Familiarity with API integrations and experience with Tableau or other data visualization tools would be an advantage.In this role, you will also work directly with business stakeholders, running workshops to gather requirements and convert them into actionable data solutions. Experience working in an agile environment is essential.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Design, develop, and maintain ETL pipelines to extract, transform, and load data from various sources into our data warehouse.
 <br/>
 <br/>
 Collaborate with Data Analytics Product Owner and business stakeholders to understand data requirements and offer recommendations to improve data collection, processing, and analysis.
 <br/>
 <br/>
 Build and maintain data models to enable efficient SQL-based reporting and analysis.
 <br/>
 <br/>
 Implement data workflows and transformations using dbt, and orchestrate data pipelines with Airflow.
 <br/>
 <br/>
 Develop and maintain data integrations via APIs where necessary.
 <br/>
 <br/>
 Monitor, troubleshoot, and optimize data pipeline performance to ensure data accuracy, reliability, and availability.
 <br/>
 <br/>
 Collaborate with data engineers, data scientists, and analysts to develop data-driven solutions that drive business outcomes.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 <br/>
 <br/>
 5+ years of experience in data engineering.
 <br/>
 <br/>
 Proficiency with data management tools like Snowflake, Talend, or similar ETL tools.
 <br/>
 <br/>
 Strong experience with Python, dbt, and Airflow.
 <br/>
 <br/>
 Solid understanding of SQL and database design.
 <br/>
 <br/>
 Knowledge of API integrations.
 <br/>
 <br/>
 Experience with Tableau or other data visualization tools (nice to have).
 <br/>
 <br/>
 Demonstrated ability to work independently and within a collaborative team environment.
 <br/>
 <br/>
 Strong analytical and problem-solving skills.
 <br/>
 <br/>
 Excellent communication and interpersonal skills.
 <br/>
 <br/>
 English fluency is required; proficiency in French is a plus.
 <br/>
 <br/>
 Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
 <br/>
 <br/>
 Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
 <br/>
 <br/>
 <strong>
  Choose your future. Choose Atos.
 </strong>
</div>


SENIOR DATA ENGINEER

Americor

<div>Americor is an innovative finance technology company, with a unique approach to debt resolution. Americor focuses on getting Americans out of debt quickly and responsibly so they can take control of their lives again. Our employees love coming to work and find value in what they do, consistently recognizing Americor as a top place to work. With over a decade of experience paired with a number of best company awards, Americor has relieved over $2 billion in debt for over 200,000 Americans.<br>
We are currently looking for a Sr Data Engineer to join our rapidly growing team. Specific job title and offer to align to the qualifications of the candidate.<br>
<br>
<ul><li><b>Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time</b></li></ul>
Compensation: $90,000-$110,000 annually, dependent on experience.<br>
Location: Hybrid/Irvine, CA (In-office every Tuesday).<br>
Schedule: Monday&ndash;Friday, with weekend on-call availability required as needed.<br>
<br>
<b>Essential Job Functions:</b><ul><li>
Custodianship of the data warehouse, warehouse architecture and connectivity</li><li>
Use new and sustainable engineering and servicing capabilities</li><li>
Answer data servicing needs every day with designs, builds and maintenance that supports ongoing data collection, cleansing, storage, processing and retrieval</li><li>
Designs should be simple, disciplined and largely universally adaptable</li><li>
Builds should exhibit use of engineering best practices with low touch automation</li><li>
Maintenance should be based on reliable monitoring and transparent change management</li><li>
Data collection, cleansing and storage should span source replication, enriched star schema transformation and final data mart custodianship</li><li>
Data processing and retrieval should be monolithic or microservice based on end data need</li><li>
Other duties as assigned</li></ul><b>
Education and Experience Requirements:</b><ul><li>
Bachelor's degree in quantitative field or equivalent experience; Master&rsquo;s preferred</li><li>
Advanced proficiency with SQL; experience with dbt preferred</li><li>
Intermediate proficiency with Python; experience with Airflow and Django Python framework preferred</li><li>
Experience with building and consuming REST APIs and interacting with OAuth</li><li>
Experience with cloud services preferred; AWS preferred</li><li>
Excellent verbal, written and interpersonal communication skill</li></ul><b>
Americor offers a competitive benefits package:</b><ul><li>
Career path</li><li>
Medical</li><li>
Dental</li><li>
Company paid group life / AD&amp;D insurance</li><li>
7 paid holidays and 2 flex days to use at will</li><li>
Paid time off</li><li>
Flexible spending/HAS</li><li>
Employee Assistance Program (EAP)</li><li>
401(k)</li><li>
Referral program</li></ul><br>
#LI-JR1<p>
Note to Agencies: Americor Funding Inc. has an internal recruiting department and may, at times, supplement that capability with assistance from temporary staffing agencies, placement services, and professional recruiters (&ldquo;Agency&rdquo;). Agencies are directed not to contact Americor Funding Inc. employees directly to present candidates. It is the Company&rsquo;s policy that all candidates must be presented to hiring managers exclusively by the internal recruiting team or other authorized personnel.</p>
<p>Any unsolicited resumes sent to Americor Funding Inc. by an Agency&mdash;including those sent to any Company mailing address, fax, email, employee, or the resume database&mdash;will be considered the property of the Company. Americor Funding Inc. will not pay a fee for any placement resulting from an unsolicited resume. Any candidate for whom an Agency submits an unsolicited resume will be deemed referred at no cost to the Company.</p>
<p></p><p>Americor is proud to be an Equal Opportunity Employer. Americor does not discriminate based on race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law.</p>
<p></p><p>W1Xsa4MYHV</p></div>

Sr. Data Engineer

gstv

<div><div><b>GSTV is dedicated to building an inclusive team and culture that reflects the communities we serve every day. Being part of the GSTV team means that we are always encouraged and challenged to grow personally and professionally. More importantly, we are accountable for our actions towards one another as the foundation for a strong and accepting workplace.</b></div>
<div></div><div><b>GSTV Values:</b></div>
<ul><li>Growth Focused</li></ul>
<ul><li>Social Accountability</li></ul>
<ul><li>Tenacious Behavior</li></ul>
<ul><li>Valued Actions</li></ul>
<div></div><div><b>Benefits Day One! Medical, Dental, Vision, Paternal Leave, Life Insurance, Accident, Critical Illness, Hospital Indemnity, STD/LTD + Vol Plans., Paid Holidays, 20 PTO days + Sick time, Perks, HSA and FSA and Lifestyle Spending Account (1</b><b>st</b><b> of mo after 30 days), 401K Match (90 days).</b></div>
<div></div><div><i>GSTV offers both hybrid and remote work situations. Candidates located within commutable distance to our New York Office will be tagged to that office and are not currently considered 100% remote.</i></div>
<div></div><div>SENIOR DATA ENGINEER</div>
<div></div><div><b>Summary:</b></div>
<div>At GSTV, we take pride in the data that powers our media platform and are committed to unlocking its full potential to drive meaningful business outcomes. That&rsquo;s why we&rsquo;re expanding our Data Engineering team and looking for a talented <b>Senior Data Engineer</b> to join us.</div>
<div></div><div>As a Senior Data Engineer, you'll play a key role in building and maintaining the pipelines and platforms that enable our teams to access trusted, timely, and actionable data. You&rsquo;ll work closely with Software Engineering, Architecture, IT, and Analytics to deliver scalable, high-quality data solutions that support our advertising, hardware, and retail partners.</div>
<div></div><div>Your primary focus will be on building efficient and reliable data pipelines, ensuring data quality, supporting analytics and reporting, and helping evolve GSTV&rsquo;s data platform to meet future business needs. Along the way, you&rsquo;ll mentor other engineers, help establish best practices, and collaborate across the organization to deliver measurable impact.</div>
<div></div><div>We&rsquo;re passionate about being a data-driven organization, and we need someone who shares that passion. If you're excited to solve complex challenges, thrive in a fast-paced environment, and want to shape the future of data at GSTV, we&rsquo;d love to hear from you.</div>
<div></div><div>Your success will be measured by:</div>
<ul><li>Your ability to build and maintain robust, scalable data pipelines that meet business needs.</li>
<li>The reliability and accuracy of the data systems you deliver&mdash;ensuring high data quality and visibility of any system issues.</li>
<li>Your contributions to the technical design and implementation of data infrastructure and pipelines.</li>
<li>Your ability to mentor and coach other members of the engineering team.</li>
<li>Your ability to collaborate effectively with engineering, architecture, product, and analytics groups.</li>
<li>Your ability to stay current with modern data engineering trends and apply them effectively at GSTV.</li>
</ul>
<div></div><div>Technologies We Use:</div>
<ul><li>Data &amp; Visualization: Snowflake, Domo, MongoDB, Dynamo</li>
<li>Cloud &amp; Infrastructure: AWS (Kinesis, Lambda, S3, SQS, CDK)</li>
<li>Languages: Python, SQL</li>
<li>Integrations: SaaS APIs (e.g., Salesforce)</li>
<li>Development Practices: Agile, Git, CI/CD</li>
</ul>
<div></div><div><b>Responsibilities:</b></div>
<div>Responsibilities include, but are not limited to:</div>
<ul><li>Deliver high-quality data solutions on time and within scope, while meeting the highest quality standards.</li>
<li>Design, develop, and maintain secure, scalable ETL pipelines that process structured and unstructured data from various sources.</li>
<li>Build and optimize data models and processing workflows to support business intelligence, analytics, and reporting needs.</li>
<li>Develop monitoring and alerting solutions to ensure pipeline performance and data quality, with quick visibility into issues.</li>
<li>Collaborate closely with software engineering, architecture, product management, analytics, and IT teams.</li>
<li>Translate business requirements into robust technical solutions and provide input on feasibility, scalability, and design.</li>
<li>Conduct code reviews and provide thoughtful feedback to other members of the engineering team.</li>
<li>Contribute to the continuous improvement of data development processes through automation, tooling, and best practices.</li>
<li>Own the delivery and ongoing support of critical data flows and reporting systems.</li>
<li>Develop insightful dashboards, reports, and datasets in visualization tools like Domo.</li>
<li>Mentor other data engineers and contribute to onboarding efforts by teaching the GSTV approach to data development.</li>
<li>Participate in agile ceremonies including standups, retrospectives, and planning.</li>
<li>Escalate blockers or risks to appropriate leadership promptly.</li>
<li>Other duties as assigned.</li>
</ul>
<div></div><div><b>Requirements:</b></div>
<div>You are</div>
<ul><li>Detail-oriented with the ability to drill down into tactical considerations.</li>
<li>Able to act autonomously while following team philosophy and guidelines.</li>
<li>Resourceful&mdash;able to find solutions even when they are not obvious&mdash;and know when to ask for help.</li>
<li>Comfortable with ambiguity and rapid change.</li>
<li>A team player with strong communication and collaboration skills in a matrixed environment.</li>
<li>Business and outcome-focused with a bias toward action.</li>
<li>Skilled at identifying and resolving data quality issues.</li>
<li>Passionate about building well-structured, maintainable, and scalable data systems.</li>
<li>A self-starter and lifelong learner, always eager to experiment with new tools and technologies.</li>
</ul>
<div></div><div>You have, ideally,</div>
<ul><li>Strong proficiency in SQL and data modeling techniques.</li>
<li>Deep experience with Snowflake or comparable data platforms.</li>
<li>Hands-on experience with Python and familiarity with other languages.</li>
<li>Expertise in integrating data from external APIs and third-party systems.</li>
<li>Familiarity with infrastructure-as-code and cloud-native data services (especially AWS).</li>
<li>Strong analytical thinking, problem-solving, and debugging skills.</li>
<li>Effective and impactful oral, written, and presentation communication skills.</li>
<li>Experience in a fast-paced, Agile environment.</li>
<li>Strong influencing skills&mdash;you can achieve goals without direct authority.</li>
<li>Excellent organization and time management skills.</li>
</ul>
<div></div><div>The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</div>
<div></div><div><b>Education and/or Experience:</b></div>
<div>Experience:</div>
<ul><li>Ideal candidates will have 5+ years of experience developing and maintaining ELT systems, and a high-level understanding of different data processing systems.</li>
<li><b>Must Have</b>
<ul><li>Experience with the data warehouses (Snowflake or BigQuery), data ELT/ETL pipelines</li>
<li>Proficiency in data modeling, advanced SQL, stored procedures, and query optimization</li>
<li>Proficiency in one or more programming languages such as Python, Java, or Scala</li>
</ul></li><li><b>Nice To Have</b>
<ul><li>Creating datasets, dataflows, and dashboards in Domo</li>
<li>Experience building integrations with SaaS APIs like Salesforce</li>
</ul></li></ul><div></div><div>Education:</div>
<ul><li>Bachelor&rsquo;s degree in Computer Science or a related field</li>
<li>Extra considerations given for certifications such as AWS Data Analytics Certification or Snowflake Data Engineering Certification</li>
</ul>
<div></div><div>Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at GSTV's discretion, or otherwise applicable with local law.</div>
<div></div><div><div><i>Note: The expected salary range for this position is based on a combination of experience and qualifications for the position, as well as geographic location to align with local market.</i></div></div></div><div></div>

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>Job Description: Senior Data Engineer (SSIS / Classic Stack)</b></h2><h3 class="jobSectionHeader"><b>
Location:</b><b> Riyadh, KSA</b></h3><h3 class="jobSectionHeader"><b>
Department:</b><b> Data &amp; Analytics</b></h3><h3 class="jobSectionHeader"><b>
Experience:</b><b> 6+ Years</b><br>
<br>
<b>Note : This position is for the candidates who are based in Saudi Arabia Only.</b></h3><h3 class="jobSectionHeader"><br>
<b>
Job Summary</b></h3><p>
We are seeking a highly skilled <b>Senior Data Engineer</b> with strong expertise in the classic data stack, particularly <b>SQL Server and SSIS</b>. The role involves designing, building, and maintaining scalable data pipelines, robust data models, and data marts.</p><p>
The ideal candidate will play a key role in developing a structured semantic layer, ensuring high-quality, consistent, and accessible data to support analytics and business intelligence initiatives.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><h4 class="jobSectionHeader"><b>
1. Data Modeling</b></h4><ul><li>
Design and maintain scalable and high-performance data models</li><li>
Develop data marts aligned with business requirements</li><li>
Apply best practices in data warehousing (Data Vault knowledge is a plus)</li></ul><h4 class="jobSectionHeader"><b>
2. Semantic Layer Development</b></h4><ul><li>
Build and maintain a semantic layer with clear definitions, hierarchies, and data structures</li><li>
Ensure consistency and usability of data across reporting and analytics platforms</li></ul><h4 class="jobSectionHeader"><b>
3. Data Pipeline Development (ETL)</b></h4><ul><li>
Develop and manage ETL pipelines using <b>SSIS and SQL Server</b></li><li>
Automate data extraction, transformation, and loading processes</li><li>
Ensure reliability and availability of data across systems</li></ul><h4 class="jobSectionHeader"><b>
4. Data Quality &amp; Governance</b></h4><ul><li>
Ensure accuracy, completeness, and consistency of data from source systems</li><li>
Implement validation and monitoring mechanisms</li></ul><h4 class="jobSectionHeader"><b>
5. Stakeholder Collaboration</b></h4><ul><li>
Work closely with business teams, analysts, and data scientists</li><li>
Translate business requirements into scalable data solutions</li></ul><h4 class="jobSectionHeader"><b>
6. Documentation &amp; Standards</b></h4><ul><li>
Maintain comprehensive documentation for data models, ETL processes, and workflows</li><li>
Promote best practices in data engineering and governance</li></ul><h4 class="jobSectionHeader"><b>
7. Mentorship</b></h4><ul><li>
Provide technical guidance and mentorship to junior team members</li><li>
Encourage adoption of best practices in ETL and data modeling</li></ul><h3 class="jobSectionHeader"><br>
<b>
Technical Skills &amp; Requirements</b></h3><ul><li>
Strong experience with <b>Microsoft SQL Server</b></li><li>
Expertise in <b>SSIS (SQL Server Integration Services)</b></li><li>
Proficiency in:<ul><li>
Stored Procedures, Functions, Views, Triggers</li><li>
ETL design and development</li><li>
Data transformation and migration across systems</li></ul></li><li>
Experience in:<ul><li>
Performance tuning (query optimization, staging, parallel processing)</li><li>
Debugging and optimizing ETL workflows</li><li>
Database design, indexing, and security</li></ul></li></ul><h3 class="jobSectionHeader"><br>
<b>
Qualifications</b></h3><ul><li>
Bachelor&rsquo;s degree in Computer Science, IT, or a related field</li></ul><h3 class="jobSectionHeader"><br>
<b>
Experience</b></h3><ul><li>
Minimum 6<b>+ years</b> of experience in:<ul><li>
Data engineering</li><li>
Data warehousing</li><li>
ETL development using SSIS</li></ul></li></ul><h3 class="jobSectionHeader"><br>
<b>
Preferred Skills (Nice to Have)</b></h3><ul><li>
Experience with <b>Data Vault modeling</b></li><li>
Exposure to modern data platforms or cloud environments</li><li>
Understanding of data governance and data quality frameworks</li></ul><p>
</p><p>c7ZS8glfnT</p></div>

Senior Data Engineer (SSIS)

Dell Technologies

<p></p><div><p>The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics &mdash; all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.</p><p>
Join us to do the best work of your career and make a profound social impact as a <b>Principal Software Engineer </b>on our <b>ISG Software Engineering</b> team in <b>Research Triangle Park, North Carolina, Round Rock, Texas, Hopkinton, Massachusetts</b>.</p><p><b>
What you&rsquo;ll achieve</b></p><p>
As a <b>Principal Software Engineer</b>, you will be a technical leader responsible for architecting and delivering complex, scalable, high‑performance software systems. You will shape technical direction, mentor senior engineers, drive engineering excellence, and influence strategy across product teams. Principal Engineers at Dell act as project leaders and architectural anchors, guiding teams toward high‑impact, high‑quality outcomes.</p><p><b>
You will:</b></p><ul><li>
Lead the design and architecture of data and information systems supporting ISG business operations</li><li>
Develop end‑to‑end data‑driven software solutions, ensuring performance, reliability, and long‑term maintainability</li><li>
Own complex technical implementations, including risk identification, mitigation, and solutioning</li><li>
Conduct design and code reviews while mentoring senior and mid‑level engineers</li><li>
Collaborate cross‑functionally to deliver enterprise‑grade integrations, modernization initiatives, and influence engineering standards and platform strategy</li></ul><p><b>
Take the first step towards your dream career</b></p><p>
Every Dell Technologies team member brings something unique to the table. Here&rsquo;s what we are looking for with this role:</p><p><b>
Essential Requirements
</b></p><ul><li>8&ndash;12 years of experience delivering complex, large‑scale software systems with strong backend development skills in Python, Java, C#, or similar</li><li>
Deep expertise in data warehousing and lakehouse architectures, including data modeling, governance, and data presentation platforms</li><li>
Hands‑on experience building and operating data pipelines, orchestration, and transformations using tools such as Airflow, Spark, dbt, or NiFi</li><li>
Advanced knowledge of distributed and cloud‑native systems, including event‑driven architectures, APIs, performance optimization, Kubernetes, CI/CD, and relational, NoSQL, and event‑based platforms (e.g., Kafka)</li><li>
Proven ability to independently design, implement, and debug complex systems while demonstrating technical leadership, mentoring, and cross‑team collaboration</li></ul><p><b>
Desirable Requirements
</b></p><ul><li>Experience integrating AI‑enabled capabilities into enterprise systems, including agentic AI patterns, LLM‑driven automation, autonomous agents, RAG, prompt engineering, and vector databases</li><li>
Strong foundation in modern platform engineering, including Agile/Scrum practices, GitOps, Kubernetes tooling and security, and contributions to platform strategy or architectural governance</li></ul><p><b>
Compensation</b></p><p>
Dell is committed to fair and equitable compensation practices. The salary range for this position is $178,500.00 - $231,000.00.</p><p><b>
Benefits and Perks of working at Dell Technologies</b></p><div>
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member &mdash; right now at MyWellatDell.com<div>
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Who we are</b></p><p>
We believe that each of us has the power to make an impact. That&rsquo;s why we put our team members at the center of everything we do. If you&rsquo;re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we&rsquo;re looking for you.</p><p>
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.</p><div>
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here<div>
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.</div><b>
Job ID:</b>R288365</div>

Principal Software Engineer (Data Warehousing-Lakehouse and Analytics Solutions)

AppFolio

<div><p><b>Who we are looking for:</b> We are hiring a Senior Software Engineer in our Platform Data Query team to operate, maintain, scale, and enhance Appfolio's data streaming and data access systems. <b>Must have</b> experience with modern data lake architectures, as you will be directly working with <b>Iceberg data lakes</b>,<b> Trino</b>, and real-time streaming using <b>Apache Flink and Kafka</b>. Our data is widely used to power customer-facing dashboards, reports, BI integrations, and AI-powered agents. Appfolio supports a significant part of the real estate market in the United States, and our data unlocks many insights for our customers and is the basis for new tools and capabilities that deliver value for our customers. The data provides enhanced performance metrics for our 20,000+ customers in the real estate property management industry. This allows our customers to see trends in their operations and act accordingly to improve and grow their business. Our Platform Data Query system provides a uniform, robust, and flexible access to data in Appfolio, powering a variety of applications, all enhancing the lives and businesses of property managers. This role is pivotal to the ongoing operation, scaling, and enhancement of that system, ultimately unlocking tremendous potential for the real estate industry in the coming years.</p><p><b>
Responsibilities:</b></p><ul><li><p>
Build a deep understanding of our data structure and systems - enabling you and your team to maintain, scale, and add on to the existing architecture.</p></li><li><div>
Maintain, optimize, and scale our robust data access layer on top of our <b>Iceberg data lake</b>, taking ownership of under-the-hood optimizations like <b>data compaction </b>for performance and storage efficiency.</div></li><li><div>
Design, build, and operate a robust API on top of our data tech stack, ensuring <b>secure data access</b> and seamless integration for downstream applications and platform services.</div></li><li><div>
Collaborate with Product to understand current operational needs, troubleshoot issues, and design technical add-ons or enhancements to our existing solutions.</div></li><li><div>
Work in a truly agile fashion to turn scaling challenges and feature enhancements into thinly sliced deliverables and execute quickly against them while limiting work in progress.</div></li><li><div>
Hold a high bar of engineering excellence and always look for ways to raise it. Adopt our engineering best practices, provide and receive in-depth code reviews, and participate in healthy debate as a team. Evangelize your own expertise and experience among your teammates and the rest of the organization.</div></li><li><div>
Together with your team, you ensure the data flowing through our data pipelines is tested with appropriate unit and integration tests to ensure the correct data makes it to our customers.</div></li><li><div>
Together with your team, your deliverables are always well-instrumented. Queries and dashboards are easily accessible and regularly used to drive decisions as well as measure progress.</div></li><li><div>
Enthusiastically participate in a high-performing, empowered team with high levels of mutual trust and respect. Along with the team, you will take ownership of your problem space - reflecting and growing from our failures and celebrating our successes.</div></li><li><p>
Operate, optimize, and scale systems responsible for high concurrency access to large data sets, <b>requiring</b> hands-on execution and <b>deep knowledge of data access and query optimization</b> with distributed query engines like <b>Trino</b> and <b>AWS Athena</b>. Identify gaps, deficiencies, and inefficiencies in the system. Propose and implement solutions.</p></li></ul><p><b>
You know you're the right fit if...</b></p><ul><li><p><b>
Must have</b> experience operating, scaling, and enhancing data pipelines at a company with large data sets using <b>Apache Flink and Kafka</b>, especially with multi-tenant data in an agile SaaS environment.</p></li><li><div><b>
Must have</b> foundational experience operating, tuning, and maintaining <b>Iceberg data lakes</b>, including deep knowledge of table maintenance and data compaction strategies.</div></li><li><div>
Experience working on platform teams or maintaining platform services, whose customers are other internal teams.</div></li><li><div>
Proven experience working across all levels of the development stack.</div></li><li><div>
Proven experience with object-oriented languages (Python, Ruby, JS, Java, C#, etc.).</div></li><li><div>
Strong SQL proficiency and <b>deep knowledge of data access/query optimization</b>, <b>requiring</b> the ability to optimize query performance and cost efficiency at scale using distributed engines like <b>Trino </b>and <b>AWS Athena</b>.</div></li><li><div>
Familiarity with core architecture principles of at-scale systems.</div></li><li><div><b>
Must have</b> strong familiarity with public cloud infrastructure, particularly AWS (including native tools like <b>AWS Glue, AWS S3,</b> and <b>AWS Athena</b>).</div></li><li><div>
Strong familiarity with Agile software development processes: Scrum or Kanban.</div></li><li><div>
Creativity and proactivity - an ability to solve complex scaling and operational problems. You love to learn about and use new tech, but understand the value of continuing to leverage and optimize existing technology when it gets the job done.</div></li><li><p>
You care about the long-term maintainability of the codebase and advocate for refactoring and code cleanliness. You can identify and resolve code-smells through sensible refactoring.</p></li></ul><p><b>
Additional Skills and Knowledge:</b></p><ul><li><p>
5+ years of experience working in software engineering teams.</p></li><li><div>
Comfortable working with remote team members.</div></li><li><div>
Ability to think pragmatically and effectively balance business outcomes with technical goals.</div></li><li><p>
Ability to establish strong working relationships with peers across other platform development teams.</p></li></ul><p>
If you are interested in creating exceptional SaaS products and being part of a successful public company, apply today!</p><p></p><div><b><br>
Compensation &amp; Benefits</b>
</div><div></div><div>The base salary that we reasonably expect to pay for this role is $138,400 - $173,000.
</div><div></div><div>The actual base salary for this role will be determined by a variety of factors, including but not limited to the candidate&rsquo;s skills, education, experience, etc.</div><div>
</div><div>Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses that you may be eligible for based on your role and/or employment type.</div><div>
Regular full-time employees are eligible for benefits - see here</div><div></div><div><b>
#LI-SS2</b></div></div><p></p>

Sr Software Engineer - Platform Data Query

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