About Us A pioneer in the caregiving space, Careforth supports family caregivers across the United States to confidently care for their loved ones at home. Through a combination of in-person home visits, remote coaching and our proprietary digital collaboration app, we provide caregivers with support, guidance, confidence, and connection to resources they need. The Caregivers and families we support stay with Careforth for many years, building lasting relationships along the way. Join us today and live our values: lead with heart, cultivate trust, go beyond. Position Summary This individual will contribute to the evolution of the enterprise DataHub/Delta Lake architecture, driving best practices in cloud-native, Spark-based data engineering. The ideal candidate has hands-on expertise with Databricks, AWS Cloud services, and Apache Spark (Python/Scala), and can serve as both a technical leader and mentor for junior engineers. What You Will Do - Architect and build robust, scalable, and secure data pipelines leveraging Databricks, Apache Spark, and AWS Cloud (EMR, Redshift, S3, Glue, Lambda). - Participate and represent the data team in critical design discussions with technical leads across various product lines. - Collaborate closely with application developers, product managers, and business analysts to translate requirements into data models, ETL/ELT workflows, and analytics-ready datasets. - Conduct pull request reviews and enforce engineering excellence in code quality, testing, and performance optimization. - Troubleshoot and optimize production data workflows while ensuring observability, resilience, and cost-efficiency at scale. - Research, evaluate, and apply emerging tools and technologies to continuously modernize the data engineering ecosystem. - Act as a mentor to junior engineers, fostering a culture of collaboration, innovation, and continuous learning. What You Will Bring - Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. - 7–10 years of professional data engineering experience, including at least 3+ years with modern cloud-based data lake architectures. - Deep expertise in Apache Spark (PySpark, Scala, or Java) for large-scale distributed data processing. - Strong experience with Databricks for collaborative data engineering and advanced analytics. - Hands-on experience with AWS services including EMR, Redshift, S3, Glue, Lambda, IAM, and related cloud-native data tools. - Proficiency in Python (preferred) as well as Java or Scala. - Strong understanding of data modeling, data pipelines, and workflow orchestration (Airflow, Step Functions, or similar). - NOGO experience - Solid foundation in algorithms, data structures, and software engineering best practices. - Excellent communication skills and a proven ability to work cross-functionally with product and engineering teams. - *******Please note the interview process may entail an onsite finalist interview in Boston, MA. You'll Benefit From At Careforth your well-being matters. With flexible schedules, a remote-first culture, and a nationally recognized wellness program, our benefits are designed to help you thrive, both professionally and personally. Discover how we invest in you: https://careforth.com/careers/#benefits The pay range for this position is $125K - $185K. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and geographic location. #LI-Remote (exceptions NYC, CA, and CO) Join Our Award Winning Team Founded in Boston, Careforth's caregiver programs and services improve health outcomes, keeping care at home longer. Additionally, our programs provide financial benefit to caregivers and cost savings to state agencies and health plans. At Careforth, we understand the challenges of caregiving and are committed to supporting family caregivers at every turn. Caregivers play a critical role in the future of healthcare—and so can you. Apply now! For more information, please visit www.Careforth.com. Careforth is an Equal Opportunity Employer* DISCLAIMER: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. *Careforth supports families with diverse backgrounds and as an equal opportunity employer, we seek employees who reflect the diverse population we serve. Careforth complies with all applicable laws concerning hiring and employment practices and is firmly committed to fostering and maintaining a workplace free from discrimination. We pledge to hire, train, and promote our employees without regard to race, religion, gender, gender identity, genetic information, age, national origin, sexual orientation, disability, veteran status, or any other category protected by applicable law. Careforth strives to create experiences that are accessible and welcoming to everyone, including making www.careforth.com and the careers site accessible to any and all users. If you would like to contact us regarding the company’s diversity, equity and inclusion initiatives, inquire about a specific accessibility need or the accessibility of our website, or if you need assistance completing an application process, please contact People & Culture at 866-797-2333.

Department: Technology Our Company Promise We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer. Job Description: This posting is within the Technology Department as part of Southwest’s Warrior Hire Program. The mission of the Warrior Hire Program is to recruit and hire transitioning Veterans and guide and support them through the beginning of their corporate career by providing them opportunities for professional growth, camaraderie, and mentorship. If you're planning your transition to a civilian career or recently transitioned, this program is designed to support you in that transition and as you join our Southwest Family. Thank you to those who currently or previously served, giving us all the freedom to fly. Review the information below about the Team this role supports. - Integrated Data Foundation (IDF) Data Enablement Team: As an Associate Data Engineer supporting the IDF Data Enablement Team, you’ll support People and Finance data delivery, helping Southwest advance its journey to becoming a truly data-driven organization. This role focuses on data analysis and business delivery, turning complex data into clear, actionable insights that support enterprise initiatives and decision making. You’ll work with modern tools including AWS, GitLab, Oracle, Essbase, and emerging AI capabilities while operating in a SAFe Agile environment across multiple pods. You’ll apply strategic thinking, collaborate closely with business stakeholders, and continuously grow your skills in a supportive, learning focused environment shaping the future of enterprise analytics. Additional Details - This Dallas-based role is offered as a remote workplace position, which may require onsite presence/travel for training, meetings, conferences, etc. Outside of those required visits, the majority of your working time may be spent in an approved remote location within the Dallas-Fort Worth area. - If an applicant currently resides outside of the Dallas-Fort Worth area, they may relocate to the area and be considered for the program. Relocation Assistance is not offered for this role. - U.S. citizenship or current authorization to work in the U.S. required and no current or future work authorization sponsorship available. We’re committed to fair hiring practices and to making employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, disability, genetic information, or other legally protected characteristics. Responsibilities - Monitor and maintain the components of our data engineering pipeline, and various container-based services configured through UIs, SQL, PL/SQL, Python, and Shell, with code managed in GitHub, deployed through Jenkins - Work as a part of our production support team to ensure the highest standards of product configuration that meet client requirements - Test and troubleshoot data pipeline using sample and live client data, utilizing Jenkins, Python, and Java to automate these tests. Must be able to parse logs to determine next actions - Utilize dashboards for Kubernetes/OpenShift to diagnose high level issues and ensure services are healthy - Support Implementation immediately after go live and work with implementation team to transition support - Work with data providers to clarify requirements and remove roadblocks - Drive automation into everyday activities - May perform other job duties as directed by Employee's Leaders Knowledge, Skills and Abilities - Knowledge of the practical application of engineering science and technology, including applying principles, techniques, procedures, and equipment to the design and production of various goods and services - Knowledge of design techniques, tools, and principles involved in production of precision technical plans, blueprints, drawings, and models - Ability to use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems - Ability to understand new information for both current and future problem-solving and decision-making - Skilled in identifying complex problems and reviewing related information to develop and evaluate options and implement solutions - Ability to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing there is a problem - Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events) - Ability to shift back and forth between two or more activities or sources of information (such as speech, sounds, touch, or other sources) - Ability to arrange things or actions in a certain order or pattern according to a specific rule or set of rules (e.g., patterns of numbers, letters, words, pictures, mathematical operations) - Ability to identify or detect a known pattern (a figure, object, word, or sound) that is hidden in other distracting material Education - Required: High School Diploma or GED Experience Required: Entry level experience, developing skills and knowledge in: - Cloud infrastructure, DataLake, AbInitio - ETL experience ensuring source to target data integrity. - Various file types (Delimited Text, Fixed Width, XML, JSON, Parque) - Unit Testing, Code Quality tools, CI/CD Technologies, Security and Container Technologies - Agile development experience and Agile ceremonies and practices Preferred experience with: - AWS - Gitlab (Duo) - Amazon Q - Oracle - Essbase Licensing/Certification - N/A Physical Abilities - Ability to perform work duties from [limited space work station/desk/office area] for extended periods of time - Ability to communicate and interact with others in the English language to meet the demands of the job - Ability to use a computer and other office productivity tools with sufficient speed and accuracy to meet the demands of the job Other Qualifications - Must maintain a well-groomed appearance per Company appearance standards as described in established guidelines - Must be a U.S. citizen or have authorization to work in the United States as defined by the Immigration Reform Act of 1986 - Must be at least 18 years of age - Must be able to comply with Company attendance standards as described in established guidelines - Must be able to travel and / or attend Company and non-Company facilities and remote locations such as remote-based offices as necessary Pay & Benefits Competitive market salary from $89,450-$99,400 per year* depending on qualifications and experience. For eligible Leadership and individual contributor roles, additional bonus opportunities are available and awarded at the discretion of the company. Benefits you’ll love - Fly for free, as a privilege, on any open seat on all Southwest flights (your eligible dependents too) - Southwest will help fund your 401(k) retirement savings with Company contributions up to 9.3% of your eligible earnings** - Potential for annual ProfitSharing contribution in the Southwest Retirement Savings Plan- when Southwest profits, you profit*** - Competitive health insurance for you and your eligible dependents (including pets) - Southwest offers health plan coverage options that start from the very first day of employment. You will have 30 days to select and enroll in your health plan with coverage retroactively available to your first day of employment. - Explore more Benefits you’ll love: https://careers.southwestair.com/benefits * Pay amount does not guarantee employment for any particular period of time. ** 401(k) match contributions are subject to Retirement Savings Plan vesting schedule and applicable IRS limits *** ProfitSharing contributions are subject to Retirement Savings Plan vesting schedule and are made at the discretion of the Company Southwest Airlines is an Equal Opportunity Employer. Please print/save this job description because it won't be available after you apply.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Maleda Tech is seeking an experienced Data Engineer to support the development and expansion of a large-scale data ecosystem used to inform strategic decision-making. In this role, you will design and maintain data pipelines that integrate internal and third-party datasets, enabling advanced analytics, data visualization, and predictive modeling. You will collaborate with cross-functional technical teams, analysts, and business stakeholders to build scalable data infrastructure that supports machine learning models and data-driven insights. The ideal candidate is highly skilled in data engineering, comfortable working with complex datasets, and able to translate technical concepts into clear solutions for non-technical partners. This position is well suited for a data professional who thrives in fast-paced environments and enjoys building foundational data systems that power analytics and machine learning initiatives. Key Responsibilities - Design, build, and maintain ETL pipelines to ingest and transform third-party and internal datasets into enterprise data warehouses. - Develop scalable data pipelines and architecture that integrate multiple data sources and support advanced analytics and machine learning applications. - Configure and manage data integrations across systems including CRM platforms, internal applications, and microservices environments. - Establish and maintain data refresh cadences aligned with business needs and data availability. - Enable self-service data visualization and analytics by preparing clean, structured datasets for reporting tools and dashboards. - Collaborate with engineering, analytics, and data science teams to expand foundational datasets and improve data accessibility. - Integrate diverse data sources such as legislative, regulatory, economic, geospatial, and operational datasets to support advanced analysis. - Communicate complex technical concepts clearly to cross-functional stakeholders and contribute to data strategy discussions. Qualifications - Strong experience in data engineering, data architecture, and analytics infrastructure. - Advanced proficiency in Python and SQL. - Experience designing and managing ETL pipelines and large-scale data pipelines. - Experience working with complex, multi-source datasets, including structured and semi-structured data. - Strong ability to transform raw datasets into formats suitable for analytics and visualization tools. - Experience working with enterprise data warehouse environments and big data systems. - Ability to work independently and proactively identify solutions to technical challenges. - Strong communication skills and the ability to translate technical insights for non-technical stakeholders. Preferred Qualifications - Experience supporting or building machine learning models. - Experience working with geospatial, regulatory, economic, or legislative datasets. - Background collaborating with cross-functional technical teams including data science and analytics teams. Key Details - Role: Data Engineer - Employment Type: Contract (W2) - Location: United States (Remote) - Start Date: April 7, 2026 - Contract Duration: 12 months (through April 7, 2027) - Schedule: Full-time, 40 hours per week - Work Hours: 8 hours per day, Monday-Friday - Compensation: $92-$107 per hour, depending on experience

Senior Data Engineer – Qualified Pipeline Location: Remote, US based Position type: TBD Job Summary Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. As part of our growth and upcoming initiatives, we are proactively searching for Senior Data Engineers to support future projects and platform modernization efforts across our client portfolio. Position Summary The Senior Data Engineer will play a key role in supporting the transition and modernization of the client’s data platform. The position will focus on pipeline migration, operational stabilization, and the implementation of a dbt-based transformation framework within a Snowflake environment. This role will work closely with the Lead Data Architect and the client’s engineering team, participating in knowledge transfer sessions. Key Responsibilities: - Develop and maintain ELT pipelines using Snowflake, Python, and Apache Airflow - Implement data ingestion and transformation logic for batch and incremental pipelines - Convert existing SQL transformations into dbt models - Implement dbt testing frameworks (schema, relationship, freshness tests) - Participate in pipeline walkthroughs and knowledge transfer sessions with the existing team - Document data pipelines and operational procedures - Support the transition from vendor-managed pipelines to Data Meaning ownership - Monitor production pipelines and data workflows - Troubleshoot pipeline failures and operational issues - Improve monitoring, alerting, and operational reliability - Implement automated data validation and quality checks - Support the development of a data quality framework Required Skills & Qualifications: - Advanced/fluent english - 8+ years of experience in Data Engineering - Hands-on experience with Snowflake - Experience working with Apache Airflow - Strong SQL (advanced) skills - Strong Python programming skills - Experience building: ELT pipelines, Data warehouse transformations, Batch and incremental, pipelines, Data ingestion pipelines - Experience working in cloud environments (AWS preferred) Nice to Have - Experience implementing dbt - Experience with data platform migrations - Experience with data pipeline performance optimization