Data Engineer

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    "description_html": "FocusKPI is looking for a <strong>Data Engineer</strong> to join our client's growing team and spearhead analyses, providing meaningful insights into their users and product.<br><br><strong><u>Work Location:</u> </strong>100% remote and ideally able to work New York EST hours<br><u><strong>Duration:</strong></u> 5 months/ 40 hrs per week<br><strong><u>Pay Range:</u> </strong>$45 - $55/hr<br><br><u><strong>**No C2C resumes are considered**</strong></u><br><br><b><u>Responsibilities:</u> </b><ul><li>Architect and scale modern data platforms on AWS — Design and build robust, scalable Spark-based ETL/ELT pipelines and data workflows supporting batch and real-time use cases.</li><li>Own end-to-end data lifecycle management — From ingestion and transformation to modeling, orchestration, and serving layers.</li><li>Ensure data quality, governance, and reliability — Implement testing frameworks, observability, monitoring, lineage, and data validation practices.</li><li>Drive platform optimization and cost efficiency — Continuously improve performance, scalability, and cloud cost management across the data ecosystem.</li><li>Establish engineering best practices — CI/CD, Infrastructure as Code, code reviews, documentation standards, and secure data handling.</li><li>Partner cross-functionally with technical and business stakeholders to translate data needs into reliable, production-grade solutions</li></ul><u><strong>Qualifications:</strong></u><ul><li>Bachelor’s degree in the Computer field, which requires logical, creative thinking, STEM majors, MS degree preferred</li><li><strong>5+ years</strong> of industry experience are required</li><li><strong><em><u>Team's Tech Stack:</u> </em></strong>Spark, Scala, Python, DBT, Airflow, Kafka, AWS EMR, Hive, Redshift, Docker, Lambda, SNS, SQS, S3, Looker, DynamoDB, GitHub Actions, Terraform</li><li>Experience with <strong>data models</strong></li><li>Experience with <strong>CI/CD</strong></li><li>Experience collaborating with and understanding the needs of stakeholders from a variety of business functions, including product, marketing, finance, and so on</li><li>Experience in handling large-scale data with efficiency</li><li>Strong analytical and problem-solving skills</li><li>Experience in Financial Services or FinTech preferred</li></ul><br><u><strong>**No C2C resumes are considered**</strong></u><br> <p>Thank you!</p><p>FocusKPI Hiring Team</p><p>Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.</p><p> </p>\n\n<p><strong>NOTICE: </strong>Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to <a href=\\\"https://reportfraud.ftc.gov/\\\">https://reportfraud.ftc.gov/</a> .<br />\nThe domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.</p>",
    "description_text": "FocusKPI is looking for a Data Engineer  to join our client's growing team and spearhead analyses, providing meaningful insights into their users and product.\n Work Location:   100% remote and ideally able to work New York EST hours\n Duration:  5 months/ 40 hrs per week\n Pay Range:   $45 - $55/hr\n **No C2C resumes are considered**\n Responsibilities:   Architect and scale modern data platforms on AWS — Design and build robust, scalable Spark-based ETL/ELT pipelines and data workflows supporting batch and real-time use cases.\n Own end-to-end data lifecycle management — From ingestion and transformation to modeling, orchestration, and serving layers.\n Ensure data quality, governance, and reliability — Implement testing frameworks, observability, monitoring, lineage, and data validation practices.\n Drive platform optimization and cost efficiency — Continuously improve performance, scalability, and cloud cost management across the data ecosystem.\n Establish engineering best practices — CI/CD, Infrastructure as Code, code reviews, documentation standards, and secure data handling.\n Partner cross-functionally with technical and business stakeholders to translate data needs into reliable, production-grade solutions\n Qualifications: Bachelor’s degree in the Computer field, which requires logical, creative thinking, STEM majors, MS degree preferred\n 5+ years of industry experience are required\n Team's Tech Stack:   Spark, Scala, Python, DBT, Airflow, Kafka, AWS EMR, Hive, Redshift, Docker, Lambda, SNS, SQS, S3, Looker, DynamoDB, GitHub Actions, Terraform\n Experience with  data models\n Experience with CI/CD\n Experience collaborating with and understanding the needs of stakeholders from a variety of business functions, including product, marketing, finance, and so on\n Experience in handling large-scale data with efficiency\n Strong analytical and problem-solving skills\n Experience in Financial Services or FinTech preferred\n **No C2C resumes are considered**\n  Thank you!\n FocusKPI Hiring Team\n Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.\n NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .\nThe domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.",
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      "datePosted": "2026-06-05",
      "description": "FocusKPI is looking for a <strong>Data Engineer</strong> to join our client's growing team and spearhead analyses, providing meaningful insights into their users and product.<br><br><strong><u>Work Location:</u> </strong>100% remote and ideally able to work New York EST hours<br><u><strong>Duration:</strong></u> 5 months/ 40 hrs per week<br><strong><u>Pay Range:</u> </strong>$45 - $55/hr<br><br><u><strong>**No C2C resumes are considered**</strong></u><br><br><b><u>Responsibilities:</u> </b><ul><li>Architect and scale modern data platforms on AWS — Design and build robust, scalable Spark-based ETL/ELT pipelines and data workflows supporting batch and real-time use cases.</li><li>Own end-to-end data lifecycle management — From ingestion and transformation to modeling, orchestration, and serving layers.</li><li>Ensure data quality, governance, and reliability — Implement testing frameworks, observability, monitoring, lineage, and data validation practices.</li><li>Drive platform optimization and cost efficiency — Continuously improve performance, scalability, and cloud cost management across the data ecosystem.</li><li>Establish engineering best practices — CI/CD, Infrastructure as Code, code reviews, documentation standards, and secure data handling.</li><li>Partner cross-functionally with technical and business stakeholders to translate data needs into reliable, production-grade solutions</li></ul><u><strong>Qualifications:</strong></u><ul><li>Bachelor’s degree in the Computer field, which requires logical, creative thinking, STEM majors, MS degree preferred</li><li><strong>5+ years</strong> of industry experience are required</li><li><strong><em><u>Team's Tech Stack:</u> </em></strong>Spark, Scala, Python, DBT, Airflow, Kafka, AWS EMR, Hive, Redshift, Docker, Lambda, SNS, SQS, S3, Looker, DynamoDB, GitHub Actions, Terraform</li><li>Experience with <strong>data models</strong></li><li>Experience with <strong>CI/CD</strong></li><li>Experience collaborating with and understanding the needs of stakeholders from a variety of business functions, including product, marketing, finance, and so on</li><li>Experience in handling large-scale data with efficiency</li><li>Strong analytical and problem-solving skills</li><li>Experience in Financial Services or FinTech preferred</li></ul><br><u><strong>**No C2C resumes are considered**</strong></u><br> <p>Thank you!</p><p>FocusKPI Hiring Team</p><p>Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.</p><p> </p>\n\n<p><strong>NOTICE: </strong>Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to <a href=\\\"https://reportfraud.ftc.gov/\\\">https://reportfraud.ftc.gov/</a> .<br />\nThe domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.</p>",
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