[All remote jobs](https://jobicy.com/jobs.md)[![Particle41 logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/11/06a9d08339e9-221.webp)](https://jobicy.com/company/particle41.md)[Particle41](https://jobicy.com/company/particle41.md) # Data Consultant AI Summary Particle41 is hiring a Data Consultant to design, build, and operate scalable data pipelines and data infrastructure for client projects. The role combines data engineering, software development, requirements analysis, testing, and cross-functional collaboration. The successful candidate will work with Python, SQL and NoSQL databases, cloud data platforms, ETL/ELT tooling, and distributed processing technologies such as Spark and PySpark. This is a US-remote role for an engineer with more than three years of relevant data engineering experience who can deliver reliable, scalable data solutions in an Agile environment.[Apply for this job](#job-application)[View company](https://jobicy.com/company/particle41.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUndisclosedDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceOpen levelPublished12 Nov 2026Apply before12 Dec 2026Listing views34Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. Data Consultant [Particle41](https://jobicy.com/company/particle41.md) is seeking a talented and versatile Data Consultant to join our innovative team. As a Data Consultant, you will play a key role in designing, building, and maintaining robust data pipelines and infrastructure to support our clients’ data needs. You will work on end-to-end data solutions, collaborating with cross-functional teams to ensure high-quality, scalable, and efficient data delivery. This is an exciting opportunity to contribute to impactful projects, solve complex data challenges, and grow your skills in a supportive and dynamic environment. In This Role, You Will: Software Development * Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to process large volumes of data from diverse sources. * Build and optimize data storage solutions, such as data lakes and data warehouses, to ensure efficient data retrieval and processing. * Integrate structured and unstructured data from various internal and external systems to create a unified view for analysis. * Ensure data accuracy, consistency, and completeness through rigorous validation, cleansing, and transformation processes. * Maintain comprehensive documentation for data processes, tools, and systems while promoting best practices for efficient workflows. Requirements Gathering and Analysis * Collaborate with product managers, and other stakeholders to gather requirements and translate them into technical solutions. * Participate in requirement analysis sessions to understand business needs and user requirements. * Provide technical insights and recommendations during the requirements-gathering process. Agile Development * Participate in Agile development processes, including sprint planning, daily stand-ups, and sprint reviews. * Work closely with Agile teams to deliver software solutions on time and within scope. * Adapt to changing priorities and requirements in a fast-paced Agile environment. Testing and Debugging * Conduct thorough testing and debugging to ensure the reliability, security, and performance of applications. * Write unit tests and validate the functionality of developed features and individual elements. * Writing integration tests to ensure different elements within a given application function as intended and meet desired requirements. * Identify and resolve software defects, code smells, and performance bottlenecks. Continuous Learning and Innovation * Stay updated with the latest technologies and trends in full-stack development. * Propose innovative solutions to improve the performance, security, scalability, and maintainability of applications. * Continuously seek opportunities to optimize and refactor existing codebase for better efficiency. * Stay up-to-date with cloud platforms such as AWS, Azure, or Google Cloud Platform. Collaboration * Collaborate effectively with cross-functional teams, including testers, and product managers. * Foster a collaborative and inclusive work environment where ideas are shared and valued. Skills and Experience We Value: * Bachelor’s degree in Computer Science, Engineering, or related field. * Proven experience as a Data Engineering, with over of 3 years of experience. * Proficiency in Python programming language. * Experience with database technologies such as SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases. * Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda’s, Spark, Pyspark, Machine learning, OpenCV, scikit-learn. * Utilities & Tools: logging, requests, subprocess, regex, pytest * ELK stack, Redis, distributed task queues * Strong understanding of data warehousing/lakehousing principles and concurrent/parallel processing concepts. * Familiarity with at least one cloud data engineering stack (Azure, AWS, or GCP) and the ability to quickly learn and adapt to new ETL/ELT tools across various cloud providers. * Familiarity with version control systems like Git and collaborative development workflows. * Competence in working on Linux OS and creating shell scripts. * Solid understanding of software engineering principles, design patterns, and best practices. * Excellent problem-solving and analytical skills, with a keen attention to detail. * Effective communication skills, both written and verbal, and the ability to collaborate in a team environment. * Adaptability and willingness to learn new technologies and tools as needed. About Particle41 Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE ) * E – Empowering: Enabling individuals to reach their full potential. * L – Leadership: Taking initiative and guiding each other toward success. * I – Innovation: Embracing creativity and new ideas to stay ahead. * T – Teamwork: Collaborating with empathy to achieve common goals. * E – Excellence: Striving for the highest quality in everything we do. We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at [careers@Particle41.com](mailto:careers@Particle41.com). This is specifically for USA location only. Show more [Apply now >](https://jobicy.com/jobs/161614-data-consultant.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI2NSIgaGVpZ2h0PSI2NSIgZmlsbD0ibm9uZSIgeG1sbnM6dj0iaHR0cHM6Ly92ZWN0YS5pby9uYW5vIj48ZyBjbGlwLXBhdGg9InVybCgjQSkiPjxwYXRoIGQ9Ik0wIDBINjVWNjVIMFYwWiIgZmlsbD0iIzAyOWFlYiIvPjxnIGZpbGw9IiNmZmYiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIyIj48cGF0aCBkPSJNMzMuMDQ5IDE1LjQ1NGExLjQzIDEuNDMgMCAwIDAtMi4wOTcgMGwtNy41NzkgOC4xNDdhMS4zOCAxLjM4IDAgMCAwIC4wOSAxLjk3MyAxLjQ0IDEuNDQgMCAwIDAgMi4wMDgtLjA4OGw1LjEwOS01LjQ5MnYyMC42MWExLjQxIDEuNDEgMCAwIDAgMS40MjEgMS4zOTdjLjc4NSAwIDEuNDIxLS42MjUgMS40MjEtMS4zOTd2LTIwLjYxbDUuMTA5IDUuNDkyYTEuNDQgMS40NCAwIDAgMCAyLjAwOC4wODggMS4zOCAxLjM4IDAgMCAwIC4wOS0xLjk3M2wtNy41NzktOC4xNDZ6TTE2Ljc2OSAzOC40YzAtLjc3My0uNjItMS40LTEuMzg1LTEuNFMxNCAzNy42MjcgMTQgMzguNHYuMTAybC4yMTUgNi4yMjljLjIyMyAxLjY4LjcwMSAzLjA5NSAxLjgxMyA0LjIxOHMyLjUxIDEuNjA3IDQuMTcyIDEuODMzYzEuNi4yMTggMy42MzYuMjE4IDYuMTYuMjE4aDExLjI4bDYuMTYtLjIxOGMxLjY2Mi0uMjI2IDMuMDYxLS43MDkgNC4xNzItMS44MzNzMS41ODktMi41MzggMS44MTMtNC4yMThDNTAgNDMuMTEzIDUwIDQxLjA1NSA1MCAzOC41MDNWMzguNGMwLS43NzMtLjYyLTEuNC0xLjM4NS0xLjRzLTEuMzg1LjYyNy0xLjM4NSAxLjRsLS4xOSA1Ljk1OGMtLjE4MiAxLjM3LS41MTUgMi4wOTUtMS4wMjYgMi42MTJzLTEuMjI4Ljg1My0yLjU4MyAxLjAzOGMtMS4zOTUuMTktMy4yNDMuMTkzLTUuODkzLjE5M0gyNi40NjJjLTIuNjUgMC00LjQ5OC0uMDAzLTUuODkzLS4xOTMtMS4zNTUtLjE4NC0yLjA3Mi0uNTIxLTIuNTgzLTEuMDM4cy0uODQ0LTEuMjQyLTEuMDI2LTIuNjEyYy0uMTg3LTEuNDEtLjE5MS0zLjI3OS0uMTkxLTUuOTU4eiIvPjwvZz48L2c+PGRlZnM+PGNsaXBQYXRoIGlkPSJBIj48cGF0aCBmaWxsPSIjZmZmIiBkPSJNMCAwaDY1djY1SDB6Ii8+PC9jbGlwUGF0aD48L2RlZnM+PC9zdmc+) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThe position requires broad hands-on expertise across data engineering, backend development, cloud platforms, testing, and stakeholder requirements gathering. Candidates must independently solve complex data quality, performance, and integration challenges while adapting to changing Agile priorities. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Highly competitive$125,000US market range (per year)$105k–$145k0$159.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary range was disclosed. The yearly cadence and USD market estimate are inferred for a US-based, full-time data engineering role requiring 3+ years of experience and cloud, ETL, Python, and distributed-processing skills. ## Core skills Skills and capabilities most closely associated with this opportunity. [Data engineering](https://jobicy.com/jobs?search_keywords=Data%20engineering.md)[ETL pipelines](https://jobicy.com/jobs?search_keywords=ETL%20pipelines.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[NoSQL databases](https://jobicy.com/jobs?search_keywords=NoSQL%20databases.md)[Data warehousing](https://jobicy.com/jobs?search_keywords=Data%20warehousing.md)[Data lakes](https://jobicy.com/jobs?search_keywords=Data%20lakes.md)[Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[PySpark](https://jobicy.com/jobs?search_keywords=PySpark.md)[Cloud platforms](https://jobicy.com/jobs?search_keywords=Cloud%20platforms.md)[Data quality](https://jobicy.com/jobs?search_keywords=Data%20quality.md)[Git](https://jobicy.com/jobs?search_keywords=Git.md)[Linux](https://jobicy.com/jobs?search_keywords=Linux.md)[Unit testing](https://jobicy.com/jobs?search_keywords=Unit%20testing.md) Sample interview questionsHow would you design an ETL pipeline for data arriving from multiple structured and unstructured sources?I would begin by clarifying source formats, volume, latency, quality expectations, and downstream use cases. I would build modular ingestion, transformation, validation, and publishing stages, use scalable storage, and implement schema management, observability, retries, and data-quality checks. I would also document lineage and create automated tests for critical transformations. What practices do you use to maintain data quality in a warehouse or lakehouse? I define measurable quality rules for completeness, uniqueness, validity, consistency, and timeliness. I implement checks at ingestion and transformation stages, quarantine invalid records when appropriate, monitor quality metrics, and alert owners when thresholds are breached. Clear ownership, lineage, and root-cause analysis are essential for preventing recurring issues. Describe a performance issue you might encounter in a Spark or PySpark job and how you would investigate it. A common issue is data skew, where a small number of keys create disproportionately large partitions and slow down tasks. I would inspect the Spark UI for long-running stages, uneven task durations, shuffle volume, and executor utilization. Depending on the root cause, I might repartition data, use key salting, optimize joins, filter earlier, cache selectively, or adjust partition sizing. How do you translate a business requirement into a technical data solution? I first confirm the business objective, intended users, decisions supported, definitions of success, source-system constraints, and required freshness. I then document assumptions and create a concise data model, pipeline design, acceptance criteria, and test plan. Throughout delivery, I review progress with stakeholders to ensure the implementation continues to meet the actual need. How do you approach testing a data pipeline? I use unit tests for transformation logic, integration tests for source-to-target flows, and data reconciliation checks against expected totals and business rules. I also test failure handling, schema changes, duplicate records, late-arriving data, and performance under representative volumes. Automated tests should run in CI so that regressions are detected before deployment. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. Keep exploring ## Related remote jobs. * ![Particle41 logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/11/06a9d08339e9-221.webp) Particle41 Nov 12 New ### [JD Edwards Data & ERP Consultant](https://jobicy.com/jobs/161620-jd-edwards-data-erp-consultant.md) JD Edwards Data & ERP Consultant Particle41 is seeking a talented and versatile JD Edwards Data & ERP Consultant to join our innovative team. 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