{"schemaVersion":"jobsearcher.job.v1","id":"bc782060e8178f850eb1dfe8","url":"https://jobsearcher.com/jobs/bc782060e8178f850eb1dfe8","canonicalUrl":"https://jobsearcher.com/jobs/bc782060e8178f850eb1dfe8","title":"Senior Data Engineer with DevOps","description":"Senior Data Engineer with DevOps\r\nCategory: Architecture\r\nMain location: United States, Texas, Dallas\r\nAlternate Location(s): United States, Ohio, Cleveland; United States, Pennsylvania, Pittsburgh\r\nPosition ID: J0626-2289\r\nEmployment Type: Full Time\r\nWe are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipelines supporting analytics, reporting, and operational needs. The role involves collaborating with cross-functional teams to ensure data alignment with business requirements and enterprise standards.\r\nThis role will require onsite presence at the client site 5 days a week in either Pittsburgh, PA, Cleveland, OH, or Dallas, TX.\r\nEmployer sponsorship of immigration related visa and/or green card status as part of the PERM process will not be available.\r\nDuties and Responsibilities\r\nDesign and build scalable data pipelines aligned with business needs\r\nProcess large datasets (batch and sometimes near real-time)\r\nEnsure data quality, consistency, and governance standards across systems\r\nSupport data integration and transformation efforts for analytics and reporting platforms\r\nMaintain data dictionaries, metadata, and documentation\r\nParticipate in data architecture reviews and model validation processes\r\nSupport analytics reporting and risk platforms\r\nRequirements\r\n5+ years of experience in data engineering and big data processing\r\nStrong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large-scale batch processing\r\nExperience working with structured and semi-structured data, including complex transformations and performance tuning\r\nProficiency in data ingestion and integration from sources such as Oracle, SQL Server, Hive, HDFS, and S3; transform data into curated data models\r\nExperience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems\r\nStrong knowledge of SQL and data modeling concepts\r\nHands-on experience with Apache Airflow for workflow orchestration (DAG design, scheduling, monitoring)\r\nProficiency in shell scripting for job automation, file validation, dependency handling, and logging\r\nStrong understanding of batch processing and batch job scheduling frameworks\r\nExperience migrating from CA7/Control M Airflow and CI/CD for data pipelines\r\nFundamentals in Linux and networking\r\nExperience with Docker, OpenShift containerization/Kubernetes\r\nKnowledge of CI/CD pipeline tools such as Jenkins, GitHub Actions, Azure DevOps, GitLab CI, Maven, and Gradle\r\nAutomate operational tasks using Python, Bash/Shell, and PowerShell\r\nImplement monitoring and alerting, Application Insights, centralized logging with ELK stack\r\nExperience ensuring data quality, reliability, and compliance in regulated environments\r\nGood communication and documentation skills\r\nCompensation\r\nCGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role: $79,600.00 – $139,300.00.\r\nBenefits\r\nCompetitive compensation\r\nComprehensive insurance options\r\nMatching contributions through the 401(k) plan and the share purchase plan\r\nPaid time off for vacation, holidays, and sick time\r\nPaid parental leave\r\nLearning opportunities and tuition assistance\r\nWellness and well-being programs\r\nSkills\r\nAirflow\r\nContainerization\r\nDevOps\r\nElastic Stack & Elasticsearch\r\nGitHub\r\nHadoop Hive\r\nJenkins\r\nJSON Web Token (JWT)\r\nKubernetes\r\nOpenShift\r\nOracle\r\nPython\r\nShell Script\r\nSQLite\r\nEqual Opportunity Employer\r\nQualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.\r\nCGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.\r\nAll CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of U.S. government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.\r\nCGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.\r\nJ-18808-Ljbffr","company":"CGI Technologies Solutions","rawCompany":"cgi technologies solutions","city":"Akron","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-07-04T02:56:06.233Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer with DevOps","description":"Senior Data Engineer with DevOps\r\nCategory: Architecture\r\nMain location: United States, Texas, Dallas\r\nAlternate Location(s): United States, Ohio, Cleveland; United States, Pennsylvania, Pittsburgh\r\nPosition ID: J0626-2289\r\nEmployment Type: Full Time\r\nWe are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipelines supporting analytics, reporting, and operational needs. The role involves collaborating with cross-functional teams to ensure data alignment with business requirements and enterprise standards.\r\nThis role will require onsite presence at the client site 5 days a week in either Pittsburgh, PA, Cleveland, OH, or Dallas, TX.\r\nEmployer sponsorship of immigration related visa and/or green card status as part of the PERM process will not be available.\r\nDuties and Responsibilities\r\nDesign and build scalable data pipelines aligned with business needs\r\nProcess large datasets (batch and sometimes near real-time)\r\nEnsure data quality, consistency, and governance standards across systems\r\nSupport data integration and transformation efforts for analytics and reporting platforms\r\nMaintain data dictionaries, metadata, and documentation\r\nParticipate in data architecture reviews and model validation processes\r\nSupport analytics reporting and risk platforms\r\nRequirements\r\n5+ years of experience in data engineering and big data processing\r\nStrong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large-scale batch processing\r\nExperience working with structured and semi-structured data, including complex transformations and performance tuning\r\nProficiency in data ingestion and integration from sources such as Oracle, SQL Server, Hive, HDFS, and S3; transform data into curated data models\r\nExperience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems\r\nStrong knowledge of SQL and data modeling concepts\r\nHands-on experience with Apache Airflow for workflow orchestration (DAG design, scheduling, monitoring)\r\nProficiency in shell scripting for job automation, file validation, dependency handling, and logging\r\nStrong understanding of batch processing and batch job scheduling frameworks\r\nExperience migrating from CA7/Control M Airflow and CI/CD for data pipelines\r\nFundamentals in Linux and networking\r\nExperience with Docker, OpenShift containerization/Kubernetes\r\nKnowledge of CI/CD pipeline tools such as Jenkins, GitHub Actions, Azure DevOps, GitLab CI, Maven, and Gradle\r\nAutomate operational tasks using Python, Bash/Shell, and PowerShell\r\nImplement monitoring and alerting, Application Insights, centralized logging with ELK stack\r\nExperience ensuring data quality, reliability, and compliance in regulated environments\r\nGood communication and documentation skills\r\nCompensation\r\nCGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role: $79,600.00 – $139,300.00.\r\nBenefits\r\nCompetitive compensation\r\nComprehensive insurance options\r\nMatching contributions through the 401(k) plan and the share purchase plan\r\nPaid time off for vacation, holidays, and sick time\r\nPaid parental leave\r\nLearning opportunities and tuition assistance\r\nWellness and well-being programs\r\nSkills\r\nAirflow\r\nContainerization\r\nDevOps\r\nElastic Stack & Elasticsearch\r\nGitHub\r\nHadoop Hive\r\nJenkins\r\nJSON Web Token (JWT)\r\nKubernetes\r\nOpenShift\r\nOracle\r\nPython\r\nShell Script\r\nSQLite\r\nEqual Opportunity Employer\r\nQualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.\r\nCGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.\r\nAll CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of U.S. government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.\r\nCGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T02:56:06.233Z","dateModified":"2026-07-04T02:56:06.233Z","hiringOrganization":{"@type":"Organization","name":"CGI Technologies Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Akron","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bc782060e8178f850eb1dfe8"},"url":"https://jobsearcher.com/jobs/bc782060e8178f850eb1dfe8"}}