data engineer

data analyst

data scientist

senior financial analyst

software engineer

senior data engineer

Travelers

<div>Who Are We?
Taking care of our customers, our communities and each other. That&rsquo;s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Compensation Overview
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Salary Range
$139,400.00 - $230,000.00
Target Openings
1
What Is the Opportunity?
Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. 
 
The Senior Data Engineer is a core contributor within the Travelers Data Engineering Chapter, operating across the DAVS BI domain. In this role, you will lead the design, development, and operationalization of enterprise-grade data pipelines that transform raw insurance and operational data into high-quality, analytics-ready assets, powering BI, Machine Learning, and AI initiatives across Travelers. 
 
As a Senior Engineer, you serve as a technical anchor within your engineering circle: mentoring peers, driving SDLC+ and engineering standards adoption, and partnering with business and data stakeholders to translate requirements into scalable, maintainable data solutions.
What Will You Do?<ul><li>
Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.</li><li>
Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.</li><li>
Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.</li><li>
Incorporate core data management competencies including data governance, data security and data quality.</li><li>
Act as a data and technology subject matter expert within lines of business to support delivery and educate end users on data products/analytic environment.</li><li>
Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate.</li><li>
Collaborate across team to support delivery and educate end users on complex data products/analytic environment.</li><li>
Perform other duties as assigned.
</li></ul>What Will Our Ideal Candidate Have?<ul><li>
Bachelor&rsquo;s Degree in STEM related field or equivalent.</li><li>
Ten years of related experience.</li><li>
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field</li><li>
Experience with insurance domain data (policy, claims, underwriting, billing)</li><li>
Knowledge of data governance frameworks and regulatory compliance (GDPR, CCPA, SOX)</li><li>
Cloud certifications: AWS Certified Data Analytics, Azure Data Engineer, or GCP Professional Data Engineer</li><li>
Experience with streaming data platforms (Kafka, Kinesis, Event Hubs)</li><li>
Familiarity with data quality tools (Great Expectations, Deequ, Monte Carlo)</li><li>
Contributions to open-source projects or technical community involvement</li><li>
Experience with Agile/Scrum methodologies</li><li>
Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.</li><li>
Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems.</li><li>
Demonstrated track record of domain expertise including the ability to develop business partnerships and influence priorities by identifying solutions that are aligned with current business objective and closely follow industry trends relevant to domain, understanding how to apply them, and sharing knowledge with coworkers.</li><li>
Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize.</li><li>
Excellent communication skills with the ability to develop business partnerships, describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, and empathetically and attentively listen to others thoughts and ideas.</li><li>
Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.</li></ul>
What is a Must Have?<ul><li>
Bachelor&rsquo;s degree in computer science, related STEM field, or its equivalent in education and/or work experience.</li><li>
6 additional years of data engineering experience.</li></ul>
What Is in It for You?<ul><li>
Health Insurance: Employees and their eligible family members &ndash; including spouses, domestic partners, and children &ndash; are eligible for coverage from the first day of employment.</li><li>
Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.</li><li>
Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.</li><li>
Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.</li><li>
Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.</li></ul>
Employment Practices
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.</div>

Senior Data Engineer

Anblicks

<div>
 
 
 Job Summary:
 
 
 
 We are seeking a Senior Data Engineer to design, build, and optimize scalable data platforms and pipelines that power analytics, reporting, and data-driven decision-making. This is a highly technical, hands-on role focused on data architecture, performance, reliability, and security across relational, NoSQL, and cloud-native storage systems. The ideal candidate brings deep experience in data engineering and software development and leads primarily through technical ownership and influence.
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Design, develop, and maintain scalable data pipelines and architectures using SQL
 
 
 Server, Azure Databricks, Azure Cosmos DB, and Azure Blob Storage.
 
 
 &bull; Build and optimize ETL/ELT workflows to ingest data from transactional systems,
 
 
 APIs, and streaming sources into analytical data stores.
 
 
 &bull; Develop and maintain data models for both relational (SQL Server, Snowflake) and
 
 
 NoSQL platforms (Cosmos DB), optimized for performance and analytical use cases.
 
 
 &bull; Implement data quality, validation, and monitoring frameworks to ensure accuracy,
 
 
 reliability, and observability across pipelines.
 
 
 &bull; Optimize query performance, indexing strategies, partitioning, and storage costs
 
 
 across SQL Server and cloud data platforms.
 
 
 &bull; Implement and enforce data security and compliance best practices, including role-
 
 
 based access control, encryption, and secure data handling.
 
 
 &bull; Collaborate with analytics, application, and platform engineering teams to translate
 
 
 business requirements into robust technical solutions.
 
 
 &bull; Build and maintain orchestration workflows using tools such as Azure Data Factory
 
 
 and Apache Airflow.
 
 
 &bull; Support CI/CD pipelines for data solutions, including version control, automated
 
 
 testing, and deployment.
 
 
 &bull; Evaluate and adopt new data technologies and patterns to continuously improve
 
 
 platform scalability and resilience.
 
 
 &bull; Provide technical guidance and mentorship through code reviews, design
 
 
 discussions, and best-practice advocacy.
 
 
 Qualifications:
 
 
 &bull; Bachelor&rsquo;s degree in computer science, Engineering, or a related field.
 
 
 &bull; 12+ years of experience in software development, with substantial hands-on
 
 
 experience in data engineering.
 
 
 &bull; Strong expertise in SQL Server, including schema design, performance tuning,
 
 
 indexing, and stored procedures.&bull; Hands-on experience with Azure Cosmos DB (data modeling, partitioning,
 
 
 throughput optimization).
 
 
 &bull; Experience working with Azure Blob Storage and cloud-based data lakes.
 
 
 &bull; Proficiency with Databricks, NoSQL databases (Cosmos DB, MongoDB, DynamoDB),
 
 
 and distributed data processing.
 
 
 &bull; Deep understanding of ETL/ELT, data warehousing, and data modeling concepts.
 
 
 &bull; Experience with cloud platforms, primarily Azure (AWS exposure a plus).
 
 
 &bull; Hands-on experience with data pipeline orchestration tools such as Azure Data
 
 
 Factory or Apache Airflow.
 
 
 &bull; Strong problem-solving skills and attention to detail, with a focus on scalability and
 
 
 reliability.
 
 
 &bull; Ability to clearly communicate technical concepts to both technical and non-
 
 
 technical stakeholders.
 
 
 Preferred Qualifications:
 
 
 &bull; Experience preparing and serving data for machine learning and advanced analytics
 
 
 use cases.
 
 
 &bull; Background in building and operating large-scale, distributed data environments.
 
 
 &bull; Experience working in Agile/Scrum teams.
 
 
 &bull; Familiarity with data governance, lineage, and observability tools in regulated
 
 <ul>
 <li>
 environments.
 </li>
 </ul>
</div>

<div>Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work&reg;. At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life.
The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions.
Responsibilities:<ul><li>
Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API&rsquo;s. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.</li><li>
Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.</li><li>
Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.</li><li>
Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.</li><li>
Master&rsquo;s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.</li><li>
Minimum of eight (8) years of experience as a data engineer with full-stack capabilities</li><li>
Minimum of ten (10) years of Experience in programming</li><li>
Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.</li><li>
Strong SQL Knowledge</li><li>
Experience in ML and ML Pipeline a plus</li><li>
Experience in real-time integration, developing intelligent apps and data products.</li><li>
Proficiency in Python and experience with CI/CD practices</li><li>
Strong background in IAAS platforms and infrastructure</li><li>
Hands-on experience with Databricks, Spark, Fabric, or similar technologies</li><li>
Experience in Agile methodologies</li><li>
Hands-on experience in the design and development of data pipelines and data products</li><li>
Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.</li><li>
Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.</li><li>
Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.</li><li>
Extensive experience in designing data applications in a cloud environment.</li><li>
Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.</li><li>
Extensive experience in Data Architecture and data modeling</li><li>
Expert in data analysis and data quality frameworks.</li><li>
Knowledgeable with BI tools such as Power BI and Tableau.</li><li>
May occasionally work evenings and/or weekends.</li></ul>
Compensation
The anticipated pay range/scale for this position is $121,116.00 to $151,395.00 Annually. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience.
Additional Compensation
This position is eligible to receive a discretionary annual bonus.
Perks and Benefits
Employees have the opportunity to participate in medical, dental and vision insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts; 401(k) with company matching contributions; employee stock purchase plan; and a tuition reimbursement program. The Company provides 9 paid holidays per year, and, upon hire, new employees will accrue paid time off (PTO) at a rate of 0.0577 hours of PTO per hour worked, up to a maximum of 120 hours per year.
CA Privacy Notice: To learn more about what information we collect when you apply for a job, and how we use that information, please see our CA Job Applicant Privacy Notice found at https://www.amh.com/ca-privacy-notice.
#LI-PH1</div>

Premistar

<div>The Sr. Data Engineer at PremiStar is responsible for building and optimizing the company&rsquo;s data infrastructure in support of Project Mosaic and the Enterprise Data Unification initiatives. Project Mosaic is PremiStar&rsquo;s enterprise-wide ERP transformation built on Microsoft Dynamics 365 &ndash; aimed at unifying systems, standardizing processes, and improving real-time data visibility across all business units.

In this role, The Sr. Data Engineer will develop and maintain robust data pipelines and unified data repositories (data lake and data warehouse) that consolidate information from Dynamics 365 and various legacy systems into a single source of truth.
RESPONSIBILITIES
<ul>
<li>Design, build, and maintain ETL/ELT processes that ingest and transform data from multiple sources (including D365 (Mosaic ERP) and legacy systems) into PremiStar&rsquo;s Azure Synapse data lake and data warehouse.</li>
<li>Implement data cleansing, validation rules, and quality checks so that disparate data (from various business units and systems) is accurate, consistent, and ready for unified analysis.</li>
<li>Contribute to the design and expansion of enterprise data models and schema (e.g. star schema in the enterprise data warehouse) to support new reporting needs and Mosaic&rsquo;s unified process definitions.</li>
<li>Work closely with the Analytics and BI consulting partners to enable self-service reporting and advanced analytics.</li>
<li>Prepare curated data sets for Power BI dashboards by writing efficient SQL queries or creating new pipeline components as needed.</li>
<li>Collaborate with cross-functional teams &ndash; including business analysts, data scientists, and ERP specialists &ndash; to understand data requirements arising from Project Mosaic deployments and other business initiatives.</li>
<li>Follow and promote software development best practices in analytics projects (version control, code review, documentation, etc.) and optimize existing data processes.</li>
</ul>
EDUCATION
<ul>
<li>Undergraduate degree or equivalent in Computer Science, Information Systems, or a related field required.</li>
</ul>
EXPERIENCE
<ul>
<li>3&ndash;5 years of hands-on experience in the design, development, and support of data pipelines (ETL/ELT processes)</li>
<li>3&ndash;5 years of experience writing and optimizing SQL (T-SQL) queries and working with Microsoft SQL Server or similar relational databases</li>
<li>1&ndash;3 years of experience in data modeling and database design</li>
<li>Prior experience in private equity backed industrial or multi-business-unit companies is a plus</li>
</ul>
SKILL REQUIREMENTS
<ul>
<li>Strong SQL programming skills, particularly with Microsoft SQL Server, including the ability to write efficient T-SQL queries, create stored procedures, and perform performance tuning on database operations.</li>
<li>Hands-on experience with Azure Synapse Analytics or similar cloud data warehousing technologies, including using Synapse (or Azure Data Factory) to create and orchestrate data pipelines, transform data at scale, and manage data lakes/warehouses.</li>
<li>Familiarity with Microsoft D365 (Dynamics 365 Finance &amp; Operations, and/or Customer Engagement) &ndash; or similar ERP/CRM systems.</li>
<li>Proficient in Microsoft Power BI or comparable BI visualization tools, including an understanding how Power BI datasets and dataflows work.</li>
<li>Knowledge of DAX and Power BI performance tuning is a plus, as is experience with SSRS or other Microsoft BI stack components (e.g. SSIS/SSAS).</li>
<li>Strong understanding of data modeling concepts and tools.</li>
<li>Experience with master data management or data cataloging in a unified data environment.</li>
<li>Familiarity with data quality and profiling tools (i.e. using SQL or Python to implement data validation).</li>
<li>Comfort with a programming or scripting language (e.g., Python, PySpark, or SQL scripts) to transform and manipulate data within pipelines.</li> 
</ul>
PHYSICAL DEMANDS 

<ul>
<li>The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.</li>
</ul>
WORK ENVIRONMENT:

This job operates in both an office and a field environment. Must be able to sit and/or stand for extended periods of time.

REASONABLE ACCOMODATION:

Reasonable accommodation will be made to enable individuals with disabilities to perform the essential job functions unless doing so presents an undue hardship on the Company&rsquo;s business operations.

OTHER DUTIES:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Employees understand the above job description and agree to comply with and be subject to its conditions. Employee further agrees this job description does not alter his/her at-will employment status. Employees understand the Company reserves the right to delegate, remove, expand or change all responsibilities. Employees acknowledge that he/she can fulfill the above duties with or without reasonable accommodation.</div>

ACV Auctions

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere.
 
Who we are: 
ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services.
 
At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and, to support this, we offer:
 <ul>
<li>Multiple medical plans including a high deductible, low cost health plan</li>
<li>Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance</li>
<li>Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/ID Protection, and Accident and Critical Illness Insurance</li>
<li>Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation</li>
<li>Employee Stock Purchase Program with additional opportunities to earn stock in the Company</li>
<li>Retirement planning through the Company’s 401(k)</li>
</ul>
Who we are looking for: 
In this senior technical role for ACV Retail, you will architect and deliver robust data pipelines, warehouses, and lakes that enable advanced analytics, machine learning, and business intelligence at scale. You will set technical direction, mentor engineering teams, and ensure best practices for performance, security, and cost-effectiveness in our cloud-based data ecosystem. You will collaborate with cross-functional teams to deliver high-quality, robust, and scalable solutions that empower our customers to manage and analyze their data effectively. You will have deep expertise in designing, building, and optimizing modern, scalable data platforms on AWS, MS SQL Server and MongoDB. You will set technical direction, mentor engineering teams, and ensure best practices for performance, security, and cost-effectiveness in our cloud-based data ecosystem.
 Our goal is evaluate, plan, and execute the evolution of our legacy data architecture to a more modern approach, allowing deprecation of legacy applications and empowering our new SaaS solutions.
 
What you will do: 
<ul>
<li>Design and implement end-to-end data architectures on AWS, including data lakes, data warehouses, real-time streaming pipelines, and ETL/ELT processes.</li>
<li>Very strong data engineering experience working with AWS Tech Stack with a focus on building complex self healing data engineering pipelines, cloud delta lakes and migrating legacy technology stack to the Cloud</li>
<li>Extensive experience with reverse engineering legacy stored procedures into data pipelines built using AWS Glue would be an added advantage</li>
<li>Lead the design of data models, storage solutions, and access patterns that support analytical and operational workloads. Deep understanding of data modeling in Postgres db environments. Ability to reverse engineer legacy data models and redesign with foundational architectural principles including normalization, cardinality and ACID into Postgres databases like Aurora is critical.</li>
<li>This role requires deep technical expertise, strong communication skills, and the ability to lead complex initiatives across multiple teams. Experience working on multiple projects simultaneously while troubleshooting technical issues and working with cross-functional stakeholders while communicating effectively to influence external engineering teams, product development teams, Business stakeholders and external partners.</li>
<li>Act as a trusted advisor to stakeholders, bridging business needs with technical execution, and ensuring best practices in cloud architecture, security, and cost optimization. Work closely with our application architects, data scientists and data engineering teams to develop, enhance and define new data integrations and BI solutions.</li>
<li>Mentor and guide engineering teams in implementing AWS services effectively and efficiently. Stay current with AWS service offerings and emerging cloud technologies, and recommend adoption where appropriate.</li>
<li>Experience migrating SSIS, SQL Server and other legacy platform to AWS Cloud</li>
<li>Optimize AWS workloads for performance, scalability and cost efficiency, leveraging tools like Trusted Advisor, Well-Architected Framework, and Cost Explorer.</li>
<li>Deep experience with services such as:</li>
<li>Storage & Compute: S3, EMR, Glue, Redshift, Athena, Lambda, EC2, EKS</li>
<li>Streaming & Messaging: Kinesis, Kafka, MSK, SNS/SQS</li>
<li>Orchestration & Workflow: Step Functions, Airflow, Data Pipeline</li>
<li>Databases: Aurora Postgres, MongoDB, MS SQL Server</li>
<li>Mentor and coach junior engineers, fostering a culture of technical excellence and continuous improvement to mature Data Engineering practices enterprise wide. Deliver TechTalks and training sessions on a regular basis.</li>
<li>Previous experience in the Auto Industry would be a significant added advantage</li>
</ul>
What you will need: 
<ul>
<li>At least 10 or more years of experience working in the data engineering field as a Senior Data Engineer with at least 4 years designing and implementing solutions on AWS</li>
<li>Solid understanding of SaaS, distributed systems, scalability, and high availability concepts.</li>
<li>Previous experience mentoring junior data engineers, providing technical expertise, code reviews, and sharing best practices to foster professional growth.</li>
<li>Excellent problem-solving skills and the ability to navigate complex technical challenges.</li>
<li>Strong communication skills and the ability to collaborate effectively in cross-functional teams.</li>
<li>Experience with hybrid cloud and multi-cloud strategies</li>
<li>Familiarity with other cloud platforms (Azure, GCP)</li>
<li>Hands-on coding/scripting in Python, Bash, or similar</li>
</ul>
Key Competencies: 
<ul>
<li>Strategic mindset with a strong business acumen</li>
<li>Ability to balance short-term needs with long-term vision</li>
<li>Problem-solving and analytical skills</li>
<li>Continuous learner who stays ahead of cloud trends</li>
</ul>
Our Values
 Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling
 
At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know.
 
For information on our collection and use of your personal information, please see our Privacy Notice.
 No immigration or work visa sponsorship provided for this position.
 
Compensation: The compensation range for this position is listed in the "Job Details" section at the bottom of this posting. Please note that final compensation will be determined based upon the applicant's relevant experience, skillset, location, business needs, market demands, and other factors as permitted by law.

Senior Data Engineer, ACVMax

AmeriLife

<div>
 
 Our Company
 
 
 
 Explore how you can contribute at AmeriLife.
 
 
 For over 50 years, AmeriLife has been a leader in the development, marketing and distribution of annuity, life and health insurance solutions for those planning for and living in retirement.
 
 
 Associates get satisfaction from knowing they provide agents, marketers and carrier partners the support needed to succeed in a rapidly evolving industry.
 
 
 
 Job Summary
 
 
 
 The Senior Data Engineer will design and develop scalable data pipelines that support analytics, reporting, and AI initiatives across the enterprise data platform.
 
 
 
 Job Description
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and maintain PySpark pipelines in Databricks
 </li>
 <li>
 Develop scalable data ingestion and transformation workflows
 </li>
 <li>
 Implement data validation and quality checks
 </li>
 <li>
 Optimize Spark workloads and processing performance
 </li>
 <li>
 Work closely with architecture and analytics teams
 
 
 
 </li>
 </ul>
 
 Core Technical Skills
 
 
 
 <ul>
 <li>
 Strong expertise in Python and SQL
 </li>
 <li>
 Experience with PySpark, Spark, and Databricks
 </li>
 <li>
 Experience building ETL/ELT pipelines
 </li>
 <li>
 Strong understanding of data transformation and performance optimization
 
 
 
 </li>
 </ul>
 
 Additional Expectations
 
 
 
 <ul>
 <li>
 Strong communication and teamwork skills
 </li>
 <li>
 Ability to collaborate across engineering and analytics teams
 </li>
 <li>
 Passion for building scalable data systems
 
 
 
 </li>
 </ul>
 
 Bonus Qualifications
 
 
 
 <ul>
 <li>
 Databricks certification
 </li>
 <li>
 AWS or Azure certification
 
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 <ul>
 <li>
 Salary Range: $135,000 to $155,000
 </li>
 <li>
 This role may be eligible for a discretionary annual bonus.
 </li>
 <li>
 Salary offers will vary commensurate with experience, education, skills, and training
 
 
 
 </li>
 </ul>
 
 What AmeriLife Offers
 
 
 
 A comprehensive benefits package that includes PTO, medical, dental, vision, retirement savings, disability insurance, and life insurance.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 We are an Equal Opportunity Employer and value diversity at all levels of the organization. All employment decisions are made without regard to race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity or expression, age, national origin, ancestry, disability, genetic information, marital status, veteran or military status, or any other protected characteristic under applicable federal, state, or local law. We are committed to providing an inclusive, equitable, and respectful workplace where all employees can thrive.
 
 
 
 Americans With Disabilities Act (ADA) Statement
 
 
 
 We are committed to full compliance with the Americans with Disabilities Act (ADA) and all applicable state and local disability laws. Reasonable accommodations are available to qualified applicants and employees with disabilities throughout the application and employment process. Requests for accommodation will be handled confidentially. If you require assistance or accommodation during the application process, please contact us at HR@AmeriLife.com.
 
 
 
 Pay Transparency Statement
 
 
 
 We are committed to pay transparency and equity, in accordance with applicable federal, state, and local laws. Compensation for this role will be determined based on skills, qualifications, experience, and market factors. Where required by law, the pay range for this position will be disclosed in the job posting or provided upon request. Additional compensation information, such as benefits, bonuses, and commissions, will be provided as required by law. We do not discriminate or retaliate against employees or applicants for inquiring about, discussing, or disclosing their pay or the pay of another employee or applicant, as protected under applicable law. Pay ranges are available upon request.
 
 
 
 Background Screening Statement
 
 
 
 Employment offers are contingent upon the successful completion of a background screening, which may include employment verification, education verification, criminal history check, and other job-related inquiries, as permitted by law. All screenings are conducted in accordance with applicable federal, state, and local laws, and information collected will be kept confidential. If any adverse decision is made based on the results, applicants will be notified and given an opportunity to respond.
</div>

Senior Data Engineer - PySpark

Shield Consulting Solutions

<div>**Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance.
- 
 
Telework: None 
 
Basic Requirements:
<ul><li>7 years of experience as a software engineer</li>
<li>Bachelor&rsquo;s degree in a technical discipline
<ul><li>2 additional years of experience as a software engineer may be substituted for a degree</li>
</ul></li></ul> 
Job Description:
<ul><li>The Software Engineer shall possess extensive expertise in dataflow design, data transport mechanisms, and Apache Spark based distributed processing.
</li><li>In this role, the Software Engineer shall be responsible for designing, implementing, and optimizing data ingress/egress pathways to ensure efficient, scalable, and reliable processing of the organization&rsquo;s analytics workloads.</li>
</ul>
 
Required Experience:
<ul><li>Experience using the Linux CLI and Linux tools</li>
<li>Experience developing Bash scripts to automate manual processes</li>
<li>Recent software development experience using Python and Java</li>
<li>Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows</li>
<li>Experience with Distributed Big Data processing engines including Apache Spark
</li><li>Familiar with SQL technologies such as MySQL, MariaDB, and PostgreSQL for querying, joining, and aggregating large datasets</li>
<li>Experience using Jupyter Notebook</li>
<li>Experience with data wrangling and preprocessing using tools such as pandas, NumPy</li>
<li>Experience working with structured, semi-structured, and unstructured data such as Parquet, JSON, CSV, XML</li>
<li>Familiarity with data quality concepts, data validation, and anomaly detection</li>
<li>Experience with Git Source Control System</li>
</ul>
 
Desired Experience:
<ul><li>Familiar with HPC Job Scheduling tools including Slurm</li>
<li>Experience using the Atlassian Tool Suite (JIRA, Confluence)</li>
</ul>
 
Salary: $230,000 - $240,000 annually 
- 
Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents &ndash; available day 1, 8% 401(k) employer match &ndash; immediate vesting.
 
 
Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure. 
 
Shield Consulting Solutions is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.</div>

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