sr data engineer

Mike Albert Leasing, Inc

<div><div><b>Sr. Data Engineer</b></div><div>
</div><div>
The Senior Data Engineer is responsible for the development, optimization, and maintenance of data pipelines and architecture. This role plays a key part in ensuring data integrity, performance, and accessibility across the enterprise. The ideal candidate brings deep experience in data integration (Boomi), database management (SQL Server and Oracle), and data modeling to support enterprise reporting, particularly through Power BI.</div><div>
</div><div><b>
RESPONSIBILITIES:
</b></div><div><b>Data Engineering &amp; Pipeline Development</b></div><ul><li>
Design, build, and maintain scalable ETL/ELT pipelines using Boomi and other relevant tools.</li><li>
Integrate data from various on-premise and cloud systems (including SQL Server, Oracle, APIs).</li><li>
Ensure data integrity and consistency across systems and data environments.</li><li>
Monitor, troubleshoot, and improve pipeline performance and reliability.</li></ul><div><b>
Database Design &amp; Optimization</b></div><ul><li>
Develop logical and physical database schemas, ensuring performance, normalization, and scalability.</li><li>
Perform query tuning, indexing, and partitioning on SQL Server and Oracle databases.</li><li>
Lead database architecture decisions and enforce best practices for structure and storage.</li><li>
Create and maintain documentation for data dictionaries and models.</li></ul><div><b>
Analytics Support &amp; Reporting Enablement</b></div><ul><li>
Collaborate with business analysts, data analysts, and business stakeholders to understand data needs.</li><li>
Enable Power BI report development by designing and maintaining efficient and reliable datasets.</li><li>
Ensure semantic layer consistency and optimize Power BI data models for performance.</li><li>
Support ad-hoc data exploration, ensuring high-quality and governed data is accessible for analysis.</li></ul><div><b>
Innovation, Governance &amp; Continuous Improvement</b></div><ul><li>
Evaluate new tools and technologies for data integration and warehousing.</li><li>
Implement and advocate for data governance, lineage, and security policies.</li><li>
Contributes to the evolution of the data platform architecture and roadmap.</li><li>
Mentor junior data engineers and analysts on best practices in engineering and design.</li></ul><div><b>
QUALIFICATIONS:</b></div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or a related field.</li><li>
Masters degree preferred.</li><li>
Minimum 6 years of experience in data engineering, database development, or a similar role.</li><li>
Proven experience with Boomi or equivalent iPaaS tools for data integration.</li><li>
Deep experience with both SQL Server and Oracle databases.</li><li>
Strong exposure to enterprise reporting environments using Power BI.</li><li>
Residence in the greater Cincinnati Metropolitan area</li></ul><div><b>
Technical Proficiency</b></div><ul><li>
Advanced SQL skills and ability to optimize large-scale queries.</li><li>
Proficiency in database design, normalization, indexing, and performance tuning.</li><li>
Experience in scripting (T-SQL, PL/SQL, PowerShell, or Python preferred).</li><li>
Familiarity with CI/CD for data solutions and version control systems.</li><li>
Exposure to cloud data platforms (Azure, AWS, or GCP) is a plus.</li></ul><div><b>
Soft Skills</b></div><ul><li>
Strong analytical and problem-solving skills with high attention to detail.</li><li>
Effective communicator able to translate technical solutions to non-technical stakeholders.</li><li>
Collaborative mindset and ability to work across cross-functional teams.</li></ul><div></div><div><br>
</div><div>
Drug Free Employer</div></div>

Sr. Data Engineer

Purpose Financial

<div><p><b>Address</b>: 322 Rhett Street, Greenville, South Carolina, United States - 29601</p><p><br>
</p><p>Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members.</p><p>
At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.</p><p><b>
We offer:</b></p><ul><li>
Competitive Wages</li><li>
Health/Life Benefits</li><li>
Health Savings Account plus Employer Seed</li><li>
401(k) Savings Plan with Company Match</li><li>
Paid Parental Leave</li><li>
Company Paid Holidays</li><li>
Paid Time Off including Volunteer Time</li><li>
Tuition Reimbursement</li><li>
Business Casual Environment</li><li>
Rewards &amp; Recognition Program</li><li>
Employee Assistance Program</li><li>
Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks</li></ul><p><br>
To learn more about Purpose Financial visit <b>Purpose Financial Website</b><b>.</b></p><p></p><div><div><div><h2 class="jobSectionHeader"><b><br>
Position Summary</b></h2></div><div><p>
Purpose Financial is seeking a talented and motivated Sr Data Engineer to join our dynamic and growing data engineering Platform Team. The role reports to the Director, Data &amp; Platform Engineering and will support Purpose Financials initiative build a data driven culture and improve decisioning for enterprise-wide teammates. Experience with dbt required.</p><p>
The Senior Data Engineer will play a pivotal role in designing, building, and maintaining our data infrastructure and pipelines to enable efficient collection, storage, processing, and analysis of large-scale datasets. Collaborate with cross-functional teams to build and acquire underlying data for application owners and end-users and design strategic data services for the organization. The right Senior Data Engineer will need to have expert knowledge of AWS and/or Snowflake cloud environments.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Responsibility</b></h2></div><div><ul><li>
Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load structured, semi-structured, and unstructured data from various sources into our data lake and warehouse environments.</li><li>
Implement data integration solutions to consolidate data from disparate sources, including databases, API&rsquo;s, streaming platforms, and 3rd party services (e.g., Snowpipe, SnowPark, Dynamo, Kafka).</li><li>
Optimize data processing workflows for performance, efficiency, and scalability using distributed computing or parallel processing frameworks such as FiveTran, dbt, Snowpark, Snowpipe, etc.&hellip;</li><li>
Collaborate cross-functionally with IT &amp; business stakeholders to understand data requirements, define data models, and develop solutions to support data services, reporting, and Software Development.</li><li>
Partner with data, IT, and business teams to improve design and building of metrics to enhance our analytic capabilities.</li><li>
Implement data quality checks, data validation processes, and error handling mechanisms to ensure the accuracy, completeness, and reliability of data across all stages of the data lifecycle.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Responsibilities Cont.</b></h2></div><div><ul><li>
Support the design and maintenance of data schemas, and metadata repositories for governance documentation of data lineage, definitions, and dependencies.</li><li>
Support the development and maintenance of data governance policies, standards, and best practices to ensure compliance with data privacy regulations and industry standards.</li><li>
Apply best practices for AWS and Snowflake architectures, data pipelines and data models.</li><li>
Monitor, troubleshoot, and optimize the performance and availability of data systems and infrastructure using monitoring and logging tools such as Prometheus.</li><li>
Stay current with emerging technologies, tools, and trends in data engineering, cloud architectures, and cloud computing to evaluate their potential impact and relevance to our data platforms.</li><li>
Responsible to coach and mentor junior data engineers.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Education Required</b></h2></div><div><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Experience Required</b></h2></div><div><ul><li>
10+ years of experience in data engineering, data pipelines, and data services required.</li><li>
Familiarity with Agile/Scrum based development and methodology.</li><li>
Strong proficiency in programming languages such as Python, SQL, Spark, or Java, with experience in data manipulation, transformation, and analysis.</li><li>
Expert level experience with cloud-based data platforms and services such as AWS, Snowflake and dbt.</li><li>
Experience with distributed computing frameworks such as Apache Spark, Kafka, etc.</li><li>
Proficiency in database systems, data warehousing, data patterns/architectures, and SQL query optimizations.</li><li>
Familiarity with containerization and orchestration technologies such as Docker or Kubernetes.</li><li>
Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced and collaborative environment.</li><li>
Strong communication, interpersonal and teamwork skills, with the ability to interact with stakeholders at all levels of the data team.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Knowledge Required</b></h2></div><div><p>
Excellent written and verbal communications skills; adaptability and flexibility to a changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Physical Requirements</b></h2></div><div><p>
Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Competencies</b></h2></div><div><div>
Data Architecture</div><div>
Technical Expertise</div><div>
Data Quality Assurance</div><div>
Data Management</div><div>
ETL/ETT/ETM Tools and Process</div><div>
OKR</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Travel</b></h2></div><div><p>
0-10 % of travel</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Attire</b></h2></div><div><p>
Business Casual</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Other</b></h2></div><div><p>
Must be eligible to work in the USA and able to pass a background check.</p></div></div></div><p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.<br>
<br>
Requisition ID: 46072</p></div>

SoundThinking

<div><div>We are looking for a Sr. Data Engineer with expertise in Databricks, AWS, and data labeling tools to join our data team. This role will focus on data transformations, quality, integrity, and labeling processes to support AI/ML initiatives and analytics. The ideal candidate will have hands-on experience with Databricks, Apache Spark, and AWS services and be familiar with data annotation platforms for training high-quality machine learning models. They will own the pipelines, tooling, and data models that power analytics, ML, and product features. They&rsquo;ll design resilient ingestion and transformation workflows, enforce data quality and lineage, and make high-quality, well-governed data easily accessible across the org.</div><div></div><p><b><br>
Essential Responsibilities/Duties:</b></p><ul><li>
Data Modeling &amp; Storage: Design bronze/silver/gold layers, dimensional models, and lakehouse/warehouse schemas optimized for cost, performance, and usability.</li><li>
Orchestration &amp; Automation: Implement workflow schedulers (Airflow/Dagster/dbt jobs), CI/CD for data, and automated backfills/reprocessing.</li><li>
Data Quality &amp; Governance: Define validation rules, anomaly detection, lineage tracking, and documentation (data contracts, catalogs).</li><li>
Observability &amp; Ops: Instrument pipelines with metrics, alerts, and SLAs; troubleshoot incidents and drive root-cause analyses.</li><li>
Performance &amp; Cost Optimization: Tune queries, partitioning, file sizes, caching, and compute resources to minimize latency and spend.</li><li>
Collaboration: Partner with analytics, ML, and product teams to understand requirements, prioritize work, and deliver self-serve datasets.</li></ul><p><b>
Minimum Qualifications:</b></p><ul><li>
3&ndash;5+ years building production-grade data pipelines and models (or equivalent experience).</li><li>
Hands-on experience with data warehouses/lakehouses and orchestration tools. Databricks experience preferred.</li><li>
Familiarity with streaming platforms and CDC tooling.</li><li>
Solid grasp of schema design, batch vs. streaming trade-offs, and data reliability patterns.</li><li>
Proven ability to document, communicate, and collaborate across teams.</li></ul><div></div><div><b><br>
Travel: 15%</b></div><div></div><div><b><br>
Location: Fremont, CA, Office</b></div><div></div><div><b><br>
Hybrid Workplace</b></div><p>
SoundThinking follows a hybrid schedule for employees who live equal to or less than 50 miles from one of our office locations, which include Fremont, CA, Tucson, AZ, Washington, D.C., Orlando, Florida, or Iselin, NJ. Employees are expected to work onsite for a minimum of 3 days per week, unless the advertised role has a specific on-site requirement. The specific days for in-office are dependent on the office location.</p><p><b>
Note: The Company reserves exclusive right in its sole discretion to modify, adjust, delete, add or otherwise change the above at any time.</b></p><div>
SoundThinking provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, SoundThinking complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. SoundThinking maintains a drug-free workplace policy.</div><div></div><div><br>
SoundThinking expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of SoundThinking&rsquo;s employees to perform their job duties may result in discipline up to and including discharge. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact SoundThinking at careers@soundthinking.com for assistance.</div><div></div><div><br>
The above salary is based on a good faith estimate made at the time of publication and may be modified in the future. The pay offered to a candidate may vary within this range depending on factors such as education, experience, and geographic location.</div><div></div><div><br>
#LI-SSD</div></div>

Deltek

<div><div><div><div>As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com<br>
<br>
</div></div><div><p><b>Business Summary</b></p>
<div>The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged &ndash; consider joining us as we explore the limitless opportunities of the software industry.</div>
</div><div><p><b>Position Responsibilities</b></p>
<div><p><b>Job Summary</b></p><p>
As a Sr Data Engineer, you will design and implement robust data architectures for enterprise platforms, including data lakes, warehouses, and lakehouse solutions. You will build scalable data pipelines, ensure data quality and reliability, and drive modernization initiatives. Collaborating closely with data science and analytics teams, you will deliver advanced data solutions while supporting compliance and governance requirements. This role offers opportunities to mentor junior engineers, evaluate emerging technologies, and contribute to technical excellence across the organization.</p><p><b><br>
Key Responsibilities</b></p><ul><li><p>
Design and implement data architecture for enterprise data platforms (data lakes, warehouses, lakehouse architectures).</p></li></ul><ul><li><p>
Build scalable data pipelines using modern ETL/ELT frameworks (e.g., Airflow, DBT); ensure data quality, reliability, and performance.</p></li></ul><ul><li><p>
Implement Change Data Capture (CDC) and real-time streaming solutions using technologies such as Kafka and Spark Streaming.</p></li></ul><ul><li><p>
Optimize data infrastructure for performance and cost, including partitioning, compression, and caching strategies.</p></li></ul><ul><li><p>
Establish data governance practices: data lineage, quality monitoring, schema management, and access controls.</p></li></ul><ul><li><p>
Lead technical initiatives for data platform modernization; evaluate and adopt new technologies and tools.</p></li></ul><ul><li><p>
Mentor junior data engineers, conduct code reviews, and establish best practices.</p></li></ul><ul><li><p>
Collaborate with data science and analytics teams to deliver data solutions for advanced analytics.</p></li></ul><ul><li><p>
Support compliance requirements for data security, privacy, and regulatory needs (e.g., GDPR, SOC2).</p></li></ul></div>
</div><div><p><b>Qualifications</b></p>
<div><p><b>Required Qualifications</b></p><ul><li><p><br>
5+ years of data engineering experience building large-scale data platforms on cloud infrastructure.</p></li></ul><ul><li><p>
Extensive experience with cloud data platforms: AWS (Redshift, Glue, EMR, S3), Azure (Synapse, Data Factory, ADLS), or GCP (BigQuery, Dataflow, GCS).</p></li></ul><ul><li><p>
Expertise in SQL; proficiency in Python or Scala; experience with Spark for distributed data processing.</p></li></ul><ul><li><p>
Hands-on experience with data pipeline orchestration tools (Airflow, DBT, Luigi, or similar).</p></li></ul><ul><li><p>
Experience with streaming platforms (Kafka, Kinesis, Pub/Sub) and event-driven architectures.</p></li></ul><ul><li><p>
Deep knowledge of relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB).</p></li></ul><ul><li><p>
Strong skills in dimensional modeling, data normalization, and schema design.</p></li></ul><ul><li><p>
Experience with Infrastructure as Code tools (Terraform, CloudFormation, or similar).</p></li><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.</p></li><li><p><b>
This position requires US Citizenship</b></p></li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li><p>
Master&rsquo;s degree in Computer Science, Engineering, or related field.</p></li></ul><ul><li><p>
Experience with data compliance requirements (FedRAMP, ITAR, HIPAA).</p></li></ul><ul><li><p>
Experience with lakehouse platforms (Databricks, Delta Lake).</p></li></ul><ul><li><p>
Experience with CDC tools (GoldenGate, Debezium).</p></li></ul><ul><li><p>
Oracle Cloud experience.</p></li></ul></div><br>
<p></p>
</div><div><p><b>Compensation Info</b></p>
<div>The U.S. salary range for this position is $72,000.00-$127,000.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity.<br>
<br>
Benefits and perks listed here may vary depending on the nature of employment with Deltek. Employees have access to healthcare benefits, a 401(k) plan and company match, paid vacation time and holidays, well-living programs, short-term and long-term disability coverage, basic life insurance and tuition reimbursement.</div>
</div><div><p><b>Position Type</b></p>
<div>FT</div>
</div><div><p><b>Travel Requirements</b></p>
<div>No</div>
</div><div><p><b>Compliance Requirements</b></p>
<div>Certain roles may have additional privacy, security and compliance requirements to the extent they support Costpoint GCCM or similar product offerings.</div>
</div><div><p><b>EEO Statement</b></p>
<div><i>Deltek, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.</i></div>
</div><div><p><b>E-Verify Statement</b></p>
<div>Deltek, Inc., utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for Deltek is eligible to work in the United States. To learn more about E-Verify you can call 1-800-255-7688 or visit their website by clicking the logo below. E-Verify&reg; is a registered trademark of the United States Department of Homeland Security.<div>
</div></div></div><div><p><b>Applicant Privacy Notice</b></p>
<div><i>Deltek is committed to the protection and promotion of your privacy. In connection with your application for employment with us at Deltek, it is necessary for us to collect, store and use information about you (&ldquo;Personal Data&rdquo;) to administer and evaluate your application. We are the &ldquo;controller&rdquo; of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this </i>Employment Candidate Privacy Notice<i>. Additionally, we have not sold and do not sell Personal Data you provide to us through the job application process.</i></div></div></div></div><div></div>

Sr Data Engineer

MetroStar

<div>
 <p>
  <span>
   <span>
    As a
    <strong>
     Sr. Data Engineer I
    </strong>
   </span>
  </span>
  <span>
   <span>
    , you&rsquo;ll work with team members to build, deploy, and operate data pipelines and data engineering components to enable data brokering and exchange capabilities across a diverse range of producers and consumers. In this role, you will be responsible for building robust, scalable data pipelines while working collaboratively with cross-functional teams to ensure seamless integration, optimized performance, and efficient delivery of solutions.
   </span>
  </span>
 </p>
 <p>
  We know that you can&rsquo;t have great technology services without amazing people. At MetroStar, we are
  <strong>
   obsessed
  </strong>
  with
  <strong>
  </strong>
  our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.
 </p>
 <p>
  If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
 </p>
 <p>
  <strong>
   <span>
    <span>
     What you&rsquo;ll do:
    </span>
   </span>
   <span>
    &nbsp;
   </span>
  </strong>
 </p>
 <ul>
  <li>
   Work with team members to operationalize data pipelines and supporting cloud infrastructure
  </li>
  <li>
   Collaborate with external data producers and consumers to obtain and provide data through interfaces such as REST APIs and S3
  </li>
  <li>
   Provide day-to-day support of deploying Python-native data pipelines and performing data engineering tasks to enable data brokering and exchange capabilities
  </li>
  <li>
   Provide Tier 2/3 troubleshooting and incident resolution support for data pipelines in Production
  </li>
 </ul>
 <p>
  <strong>
   <span>
    <span>
     What you&rsquo;ll need to succeed:
    </span>
   </span>
   <span>
    &nbsp;
   </span>
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Active TS/SCI required with CI poly preferred&nbsp;
   </span>
  </li>
  <li>
   4+ years of proven experience in data engineering, with expertise in designing, developing, and maintaining data ingestion, transformation, and loading pipelines and components
  </li>
  <li>
   Demonstrated experience in designing and deploying data pipelines leveraging AWS cloud infrastructure across multiple classification domains (e.g., IL5 to IL6+)
  </li>
  <li>
   Experience with Infrastructure-as-Code (IaC) tools, including Terraform, CloudFormation, or Ansible, to automate deployment of data pipeline cloud infrastructure
  </li>
  <li>
   Understanding of RMF security principles and hands-on experience implementing security controls for data pipelines in cloud environments
  </li>
  <li>
   Strong scripting and programming skills in languages such as Go, Python, and Bash
  </li>
  <li>
   Experience with data pipeline tools and technologies such as Nifi, Hadoop, HDFS, and Kafka. Experience implementing data pipelines in the Cloudera Data Platform environment is highly preferred.
  </li>
  <li>
   Strong communication skills, with the ability to clearly convey complex technical concepts
  </li>
 </ul>
 <p>
  SALARY RANGE: $125,000 - $167,000
 </p>
 <p>
  The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including:&nbsp;
 </p>
 <ul>
  <li>
   The candidate's professional background and relevant work experience
  </li>
  <li>
   The specific responsibilities of the role and organizational needs
  </li>
  <li>
   Internal equity and alignment with current team compensation
  </li>
  <li>
   This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:
  </li>
  <ul>
   <li>
    Performance-based bonuses
   </li>
   <li>
    Company-paid training and/or certifications
   </li>
   <li>
    Referral bonuses
   </li>
  </ul>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <em>
   To apply for this position, please submit your resume via the form below or through our careers page:&nbsp;https://www.metrostar.com/jobs/
  </em>
 </p>
 <p>
  <strong>
   Application Deadline:&nbsp;
  </strong>
  Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration.
 </p>
 <p>
  <strong>
   Additional Compensation
  </strong>
  : This role may also be eligible for bonuses and/or additional incentives based on individual and company performance.
 </p>
 <p>
  <strong>
   Benefits
  </strong>
  : All full-time employees are eligible to participate in our benefits programs:
 </p>
 <ul>
  <li>
   Health, dental, and vision insurance
  </li>
  <li>
   401(k) retirement plan with company match
  </li>
  <li>
   Paid time off (PTO) and holidays
  </li>
  <li>
   Parental Leave and dependent care
  </li>
  <li>
   Flexible work arrangements
  </li>
  <li>
   Professional development opportunities
  </li>
  <li>
   Employee assistance and wellness programs
  </li>
 </ul>
 <p>
  Like we said,
  <strong>
   we are
  </strong>
  big fans of our people. That&rsquo;s why
  <strong>
   we offer
  </strong>
  a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.
 </p>
 <p>
  <strong>
   Commitment to Non-Discrimination
   <br/>
  </strong>
  All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
 </p>
 <p>
  &nbsp;
  <strong>
   What we want you to know:
  </strong>
 </p>
 <p>
  In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
 </p>
 <p>
  &nbsp;
  <strong>
   Not ready to apply now?&nbsp;
  </strong>
 </p>
 <p>
  Sign up to join our newsletter here.
 </p>
</div>


Sr. Data Engineer I (6290)

McLane Company

<div>If you love turning complex, high-volume data into trusted, reusable products-this role is for you. We're looking for a <b>Senior Data Engineer</b> to design and deliver modern ELT pipelines, scalable architectures, and analytics-ready datasets that accelerate engineers, analysts, and data scientists. You'll lead with strong engineering fundamentals, partner across teams, and help set the standards for how data is built and used.<br>
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<b>What You'll Do</b><br>
<ul><li>
Design, develop, optimize, and maintain data architecture + ELT pipelines aligned to business outcomes</li><li>
Architect and implement end-to-end data solutions (warehouses/lakes, pipelines, models, products)</li><li>
Solve complex data challenges to deliver insights and enable decision-making at scale</li><li>
Build data products that boost productivity for engineers, analysts, and data scientists</li><li>
Engineer high-quality features for modeling in close collaboration with data scientists and business partners</li><li>
Lead evaluation and deployment of emerging analytics engineering tools/processes</li><li>
Define and drive best practices, standards, and operational excellence (quality, stability, reuse, scale)</li><li>
Mentor junior engineers; lead design discussions and cross-functional collaboration</li><li>
Partner with ML engineers, BI, and solutions architects on strategic enterprise initiatives</li><li>
Communicate and enable teams through education plans on standards, capabilities, and processes</li></ul><br>
<b>
What We're Looking For</b><br>
<ul><li>
Deep understanding of distributed computing, scalability, and data architecture</li><li>
Strong critical thinking and ability to tackle big data challenges end-to-end</li><li>
Proficiency with data warehouses/lakes and big data technologies (e.g., Spark/Databricks, Snowflake/Redshift, distributed databases)</li><li>
Expertise in ELT + SQL and data analysis (advanced SQL required)</li><li>
Modern pipeline practices and tooling (e.g., dbt, Airflow, Spark, Python and OSS data ecosystem)</li><li>
Strong software engineering fundamentals and tooling (Git, CI/CD, JIRA); comfort in Linux + Bash/Z shell</li><li>
Cloud experience building data/analytics solutions (GCP; Azure also valued)</li><li>
Familiarity with BI tools (e.g., Power BI, Tableau, Looker, Alteryx)</li><li>
Knowledge of dimensional modeling, governance concepts, and structured/unstructured data</li></ul><br>
<b>
Education &amp; Experience Needed</b><br>
<ul><li>
Bachelor's degree in Computer Science, Statistics, Engineering, or related field</li><li>
7or more years of total experience in data engineering or analytics engineering</li></ul><br>
<b>
Why Join Us</b><br>
<ul><li>
Own high-impact, enterprise-scale data solutions that enable analytics and ML</li><li>
Work with modern tools and patterns-design for scale, stability, and reuse</li><li>
Collaborate with cross-functional leaders and help shape the data engineering roadmap</li><li>
Opportunity to mentor, influence standards, and elevate the data culture</li></ul><br>
<b>
Benefits you can count on:
</b><br>
<ul><li>Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance
</li><li>Paid time off begins day one.</li><li>
401(k) Profit Sharing Plan after 90 days.</li><li>
Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!</li></ul><br>
Candidates may be subject to a background check and drug screen, in accordance with applicable laws.
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All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.<br>
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For our complete EEO and Pay Transparency statement, please visit https://www.mclaneco.com/legal/employment/</div>

Quantiphi

<div><div>While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.<br>
<br>
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!</div><div></div><div>
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.</div><div></div><div>
Company Highlights:</div><div></div><div>
Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don&rsquo;t just innovate&mdash;we lead. Headquartered in Boston, with 4000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we&rsquo;ve been recognized with:</div><div></div><ul><li><div>
17x Google Cloud Partner of the Year awards in the last 8 years</div></li><li><div>
3x AWS AI/ML award wins</div></li><li><div>
3x NVIDIA Partner of the Year titles</div></li><li><div>
2x Snowflake Partner of the Year awards</div></li><li><div>
We have also garnered Top analyst recognitions from Gartner, ISG, and Everest Group.</div></li><li><div>
We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.</div></li><li><div>
We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.</div></li></ul><div></div><div>
Be part of a trailblazing team that&rsquo;s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here.</div><div></div><div>
About The Role<br>
As a Senior Data Engineer, you will play a key role in designing, building, and maintaining scalable data pipelines that power analytics, insights, and business decision-making. You will work across both batch and streaming architectures, leveraging PySpark, SQL, and modern data engineering frameworks to deliver reliable, high-performance data solutions.<br>
<br>
Key Responsibilities</div><ul><li>
Define and own the overall data architecture for ingestion, storage, transformation, and analytics on GCP (focused on BigQuery and Cloud Composer).</li><li>
Design data modeling frameworks and best practices for structured and semi-structured insurance data (Policy, Claims, Billing).</li><li>
Collaborate with Business Analysts to translate functional Guidewire requirements into conceptual and logical data models.</li><li>
Work with Data Modelers and Data Engineers to define physical schemas, transformation strategies, and data lineage standards.</li><li>
Design and oversee data ingestion architecture from Guidewire (staging, raw, curated layers) using SQL-based ELT pipelines.</li><li>
Establish data governance, metadata management, and data quality frameworks for transparency and compliance.</li><li>
Review and optimize BigQuery data structures (partitioning, clustering, query tuning, storage tiering).</li><li>
Define naming conventions, security models (IAM/RLS), and access control standards for the data warehouse.</li><li>
Ensure architecture alignment with cloud best practices for scalability, cost optimization, and maintainability.</li><li>
Provide architectural direction and mentorship to the Data Engineering Lead, Data Modeler, and Data Engineers.</li><li>
Partner with enterprise security and infrastructure teams to maintain compliance with data privacy regulations.</li></ul><div><br>
Required Skills and Experience</div><ul><li>
10+ years of experience in data architecture/design with at least 6+ years on GCP.</li><li>
Deep expertise in Google BigQuery data warehouse design and performance tuning.</li><li>
Strong working knowledge of Cloud Composer (Airflow) and orchestration pipelines.</li><li>
Solid understanding of insurance data structures, preferably from Guidewire systems (PolicyCenter, BillingCenter, ClaimsCenter).</li>
Experience architecting enterprise-grade ELT frameworks and multi-layered data architectures (staging raw curated<li> analytics).</li><li>
Hands-on proficiency in SQL and schema design for analytical environments (star/snowflake models).</li><li>
Familiarity with data governance, cataloging, and metadata management.</li><li>
Ability to lead technical teams and guide design decisions with both functional and technical stakeholders.</li></ul><div></div><div>
What is in it for you:</div><ul><li><div>
Be part of the fastest-growing AI-first digital transformation and engineering company in the world</div></li><li><div>
Be a leader of an energetic team of highly dynamic and talented individuals</div></li><li><div>
Exposure to working with fortune 500 companies and innovative market disruptors</div></li><li><div>
Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud</div></li></ul><div><div><div><div><div><div><div><div><i>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us</i><i>!</i></div></div></div></div></div></div></div></div></div><div></div>

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